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Data Science Certification Course in Germany

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Learn the Consequences of Data Science Certification Training in Germany

  • This Data Science online course provides all the essential tools and knowledge necessary to become an accomplished Data Scientist.
  • Nearly 100% student satisfaction with over 300+ batches completed successfully.
  • Learn coding in Python and use it for statistical analysis, and get familiar with the mathematics of Machine Learning.
  • Get Trained from certified trainers from highly reputed multinational companies with over several years of experience in the industry.
  • Our trainers specialize in state-of-the-art Deep Learning frameworks like Google's TensorFlowDevelop, keeping you with the current trends of the job market.
  • We teach you how to apply these skills in real life through guided online practice sessions.
  • Tie-up & MOU with over 1000+ Small & Medium Corporate Companies to Support you with Opportunities to Kick-Start & Step-up your Career.
  • Learning Concepts: Data Science, significance of Data Science in today’s digitally-driven world, components of the Data Science lifecycle, big data and Hadoop, Machine Learning and Deep Learning, R programming and R Studio, Data Exploration, Data Manipulation, Data Visualization, Logistic Regression, Decision Trees & Random Forest, Unsupervised learning, Association Rule Mining & Recommendation Engine, Time Series Analysis, Support Vector Machine - (SVM), Naïve Bayes, Text Mining, Case Study.
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Course Objectives

The potential for quantum computing and data science is big within the future. Machine Learning may also method the data abundant quicker with its accelerated learning and advanced capabilities. supported this, the time needed for finding advanced issues is considerably reduced. The role of the data scientist is currently a buzzworthy career. It's standing within the marketplace and provides opportunities for folks that study data science to create valuable contributions to their firms and societies at giant.

Big data. Data scientists shrewdness to use their skills in maths, statistics, programming, and alternative connected subjects to prepare giant information sets. Then, they apply their knowledge to uncover solutions hidden within the information require on business challenges and goals. Data science is high in demand and explains however digital information is remodeling businesses and serving to them create chiseler and significant selections. therefore digital data is everywhere for folks that are trying to figure as a data scientist.

  • Get comfy with Python
  • Learn information analysis, manipulation, and visualization with pandas
  • Learn machine learning with scikit-learn
  • Understand machine learning in additional depth
  • Keep learning and active
With the correct qualifications, you’ll get pleasure from a bright career outlook as a knowledgeable soul. The demand for people with these skills can still increase, and people already in data science roles are bound to see their salaries increase within the future. Data scientists work at intervals in most major industries wherever growth is occurring. Not only did IBM predict the demand for data scientists would grow by 28th in 2020, however, the Bureau of Labor Statistics considers data science within the prime twenty quickest growing occupations and has projected thirty-first growth over the following 10 years.
Data science groups have folks from various backgrounds like chemical engineering, physics, economics, statistics, mathematics, research, technology, etc. You'll realize several data scientists with a bachelor's degree in statistics and machine learning however it's not a demand to be told Data Science.
The various edges of Data Science are as follows:
  • The abundance of Positions
  • An extremely Paid Career
  • Data Science is flexible
  • Data Science Makes information higher
  • Data scientists are extremely Prestigious
  • Apache Spark
  • BigML
  • Excel
  • ggplot2

What are the purposes of the Data Science Certification?

The key objective of Data Science is to extract valuable data to be used in the strategic higher cognitive process, development, analytic thinking, and statement. The key techniques in use are data processing, huge data analysis, data extraction, and data retrieval. The purpose of data science is to create the means for extracting business-focused penetrations from data. This requires an understanding of however worth and data flows in an extremely business, and therefore the ability to use that understanding to find business opportunities.

What skills are utilized in a Data Science Online Training in Germany?

One of the foremost necessary technical knowledge soul skills is applied math analysis and computing, mining, and process big data sets. This additionally includes extracting the info that's thought valuable. Some information scientists have a pH scale
  • Statistics
  • Programming Language R/ Python
  • Data Extraction, Transformation, and Loading
  • Data wrangle and information Exploration
  • Machine Learning And Advanced Machine Learning (Deep Learning)

What are the job opportunities after completing the Data Science Certification Course?

To name many, a number of the foremost common job titles for information scientists include:
  • Business analyst
  • Data Mining Engineer
  • Data designer
  • Data Scientist
  • Senior Data Scientist

What are the requirements for learning Data Science Certification?

Data science requires the basics of statistics and mathematics, which should be clear to be able to analyze the problems that are at hand. To solve business problems, you need to have soft skills like team management and control over the projects to meet the deadlines. You will find many data scientists with a bachelor's degree in statistics and machine learning but it is not a requirement to learn data science

Will Data Science requires coding background?

You need to possess knowledge of different programming languages, like Python, Perl, C/C++, SQL, and Java, with Python being the foremost common cryptography language needed in data science roles. These programming languages facilitate data scientists to organize unstructured data sets.6
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Overview of Data Science Course in Germany

Data Science understanding is the exercising of mining large records devices of raw records, every installed and unstructured, to select out out patterns and extract actionable notions from them. This is an interdisciplinary issue, and the policies of records Data Science understanding encompass facts, inference, pc Data Science understanding, predictive analytics, tool studying the set of policies development, and a new era to gain insights from big records. To define records Data Science understanding and beautify records Data Science understanding task management. Acquiring records, on occasion extracting it, and stepping into it into the device. The next diploma is maintenance, which includes records warehousing, records cleansing, records processing, records staging, and records architecture.

Additional Info

Introduction of Data Science Online Course :

Data processing follows and constitutes one of the records of Data Science understanding fundamentals. It is at some stage in records exploration and processing that records scientists stand aside from records engineers. This diploma consists of records mining, records elegance and clustering, records modeling, and summarizing insights gleaned from the records—the techniques that create effective records. Next comes records assessment, and in addition vital diploma. Here are records scientists conduct exploratory and confirmatory Work, regression, predictive assessment, qualitative assessment, and text mining. This diploma is why there can be no such issue as cookie-cutter records Data Science understanding—while it’s executed properly.

Data technological understanding is the exercising of mining massive records devices of raw records, every based and unstructured, to find out patterns and extract actionable perceptions from them. This is an interdisciplinary field, and the standards of records technological understanding embody statistics, inference, pc technological understanding, predictive analytics, device getting to know the set of policies development, and a new era to gain insights from large records.

To define records technological understanding and beautify records technological understanding assignment management, start with its lifestyles cycle. The first degree withinside the records technological understanding pipeline workflow consists of capture: acquiring records, once in a while extracting it, and getting into it into the device. The next degree is maintenance, which includes records warehousing, records cleansing, records processing, records staging, and records architecture.

Data processing follows and constitutes one of the records technological understanding fundamentals. It is at some stage in records exploration and processing that records scientists stand aside from records engineers. This degree consists of records mining, records elegance and clustering, records modeling, and summarizing insights gleaned from the records—the strategies that create effective records.

What is Data Science?

Data Science is a multidisciplinary issue that uses scientific inference and mathematical algorithms to extract considerable know-how and insights from a large amount of installed and unstructured records. These algorithms are carried out via pc programs which are generally run on powerful hardware as it requires a substantial amount of processing. Data Science is a mixture of statistical mathematics, tool studying, records assessment and visualization, vicinity know-how, and pc Data Science understanding.

As it is apparent from the call, the most critical detail of Data Science is “Data” itself. No amount of algorithmic computation can draw considerable insights from wrong records. Data Data Science understanding consists of numerous varieties of records, for example, photograph records, text records, video records, time-primarily based records, etc. Our Data Science Training in Germany is well-ready with labs and superb infrastructure to offer you hands-on training. In addition, we offer Data Science certification training.

Roles of Data Science Online Training :

    The length “Big Data” refers to a large collection of installed, semi-installed, or unstructured heterogeneous records. Databases are generally now not capable of coping with such voluminous datasets. As referred to earlier, the crucial component detail of Data Science is Data. As a rule of thumb, “extra the records, the better the insights”. Hence, Big Data plays a critical feature withinside the issue of Data Science. Big Data is characterized by the resource of the use of its variety and amount, every of this is critical for Data Science. Data Science captures the complex patterns from Big Data with the resource of the use of developing Machine Learning Models and Algorithms. Data Science is that this form of issue that can be carried out in almost every company to solve complex problems. Every business enterprise applies Data Science to a one-of-a-type application with the view of solving a one-of-a-type problem. Some businesses depend upon Data Science and Machine Learning techniques to solve a tremendous set of problems, which, otherwise, could not have been solved. Some of such programs of Data Science and the businesses withinside the lower back of them are listed below.

  • Internet Research Outcomes (Google):
  • When someone searches for something on Google, complex Machine Learning algorithms determine which are the most relevant outcomes for the search length (s). These algorithms help to rank pages such that the most relevant records are provided to the man or woman on the urgent of a button.

  • Reference Generator (Spotify):
  • Spotify is a track streaming provider that is quite well-known for its cappotential to propose tracks consistent with the taste of the man or woman. This is a superb example of Data Science at play. Spotify’s algorithms use the records generated with the resource of the use of everyone overtime to take a look at the man or woman’s taste in track and propose him/her with similar track withinside the future. This shall we the business enterprise draw extra clients considering that it is extra available for the man or woman to use Spotify as it does now not name for an entire lot of attention.

  • Creative Digital Assistants (Google Assistant):
  • Google Assistant, much like exclusive voice or text-based digital assistants (moreover referred to as chatbots) is one example of advanced Machine Learning algorithms located to use. These algorithms can convert the speech of someone (regardless of one-of-a-type accents and languages) to text, understand the context of the text/command and provide relevant records or perform a desired task, all certainly with the resource of the use of speakme to the tool.

  • Autonomous Driving Vehicle (Waymo):
  • Autonomous Driving cars are one of the bleeding edges of the era. Companies like Waymo uses high-choice cameras and LIDARs to capture live video and 3D maps of the encompassing to feed that via Machine Learning algorithms which assist in autonomously the use of the car. Here, the records are the films and 3D maps captured with the resource of the use of the sensors.

  • Spam Filter (Gmail):
  • Another key application of Data Science which we use in our each day existence is the direct mail filters in our emails. These filters automatically separate the direct mail emails from the rest, correctly giving the man or woman a far cleanser email experience. Just much like the exclusive programs, Data Science is the crucial component building block here.

  • Offensive Content including Hate Speech Filter (Facebook):
  • Similar to the direct mail filter, Facebook and exclusive social media structures use Data Science and Machine Learning algorithms to clean out abusive and age-constrained content material fabric from the unintentional audience.

  • Robotics (Boston Dynamics):
  • A key detail of Data Science is Machine Learning, it truly is exactly what fuels most robotics operations. Companies like Boston Dynamics are at the leading edge of the robotics company and increase self-maintaining robots which are probably capable of humanoid movements and actions.

  • Automatic Piracy Detection (YouTube):
  • Most films that are probably uploaded to YouTube are real content material fabric created with the resource of the use of content material fabric creators. However, quite regularly, pirated and copied films are also uploaded to YouTube, it truly is their policy. Due to the sheer amount of normal uploads, it is not possible to manually hit upon and takedown such pirated films. This is in which Data Science is used to automatically hit upon pirated films and dispose of them from the platform.

Trends Of Data Science Online Certification:

    The issue of Data Science has been growing ever considering that its onset withinside the early 2000s. With time, the increasingly more cutting-edge era is being included in the issue. Some of such extra present-day additions are listed below:

  • Artificial Intelligence:
  • Machine Learning has been one of the significant elements of Data Science. However, with the accelerated parallel compute capabilities, Deep Learning has been the current and one of the most substantial additions to the Data Science issue.

  • Smart Apps or Online Systems:
  • The development of records-driven clever programs and their accessibility in a portable form component has resulted withinside the inclusion of a part of this issue into Data Science. This is in maximum instances because of the truth a large part of Data Science has been built around Machine Learning, which is also what Smart Apps and Online Systems are based on.

  • Edge Computing:
  • Edge computing is a nowadays advanced concept and is related to IoT (Internet of Things). Edge computing locations the Data Science pipeline of records collection, delivery, and processing withinside the route of the delivery of records. This is manageable via IoT and has nowadays been delivered to be a part of Data Science.

  • Security:
  • Security For Data Science has been a main mission withinside the digital space. Malware injection and the concept of hacking are quite now no longer unusualplace and all digital systems are vulnerable to it. Fortunately, there have been few present-day Data Science enhancements that exercise Data Science techniques to prevent the exploitation of digital systems. For example, Machine Learning techniques have proven extra capable of detecting pc viruses or malware while in assessment to traditional algorithms.

What is the motive of facts Data Science ?

The primary cause of Data Science is to find out patterns in interior records. It uses numerous statistical techniques to analyze and draw insights from the records. From records extraction, wrangling, and pre-processing, a Data Scientist ought to scrutinize the records thoroughly.

Abilities needed to end up a Data Scientist:

    As referred to withinside the previous section, Data Science is a complex issue. Hence, it requires the mastery of more than one sub-fields, which together add as lots because the whole know-how required to be a Data Scientist.

    1. Mathematics:

    The first and the most critical issue of statement to end up a Data Scientist is mathematics; extra especially, Probability and Statistics, Linear Algebra, and some number one Calculus.

  • Statistics:
  • It is critical in EDA and developing algorithms to conduct statistical inference on the records. Additionally, most Machine Learning Algorithms use facts as their important building blocks.

  • Linear Algebra:
  • Working with a big variety of records method strolling with high-dimensional matrices and matrix operations. The records that the model takes in and the most effective that it gives as output are withinside the form of matrices and therefore any operation that is achieved on them uses the fundamentals of Linear Algebra.

  • Calculus:
  • Since Data Science does encompass Deep Learning, calculus is of tremendous importance. In Deep Learning, calculation of Gradient can be very critical and is executed at every step of computation in Neural Networks. This requires legitimate know-how of differential and important calculus.

2. Algorithmic Knowledge:

Even even though Data Science typically does now not includes the development and format of Algorithms like a few different application of Computer Science does, it is even though critical for a Data Scientist to have legitimate know-how of Algorithms. This is because of the truth, on the prevention of the day, Data Scientists are programmers who are expected to increase programs that would derive considerable insights from records. Having algorithmic know-how shall we the Data Scientist write down considerable inexperienced code, which saves on every occasion and supply and therefore is rather valued.

3. Programming Languages (R and Python):

Even even though, any programming language can be used for any form of logical use case, which of course, includes Data Science; but, the most commonly used languages are R and Python. Both of these languages are open deliver and therefore have big community support, have more than one library advanced keeping Data Science in mind, and are in particular easy to take a look at and use. Without the know-how of programming languages, a Data Scientist can't exercise any form of algorithmic or mathematical know-how of the records.

4. Proper Programming Environment:

Since sound programming know-how is one of the key requirements for Data Science, there needs to be an available platform to put in writing down and execute the code. This platform is called the IDE or Integrated Development Environment. There are severa IDEs to select out from, and some of them have been in particular advanced for Data Science.

5. Machine Learning Frameworks:

Machine Learning is an important aspect of Data Science, and its implementation requires a lot of tools and frameworks, which each Data Scientist should be conversant with. Some of the most widely Used Algorithm frameworks are given here.

6. SQL:

Databases are of tremendous importance withinside the issue of Data Science considering that they are the most suitable method for storing records. Thorough know-how of one or extra database era like MySQL, MariaDB, PostgreSQL, MS SQL Server, MongoDB, Oracle NoSQL, etc. is also critical.

Future of Data Science Certification Training :

Data Science is an ever-growing issue and is expected to increase in a name for withinside the foreseeable future. Some of the crucial component changes are listed below.

Data: With the novel growth of the generation of records, the general overall performance of the predictive algorithms is going to beautify over time as extra records are available to draw inference upon. This phenomenon is fueled with the resource of the use of the boom of Social Media and IoT-based devices, which generate masses extra records.

Algorithms: Machine Learning algorithms like Genetic Algorithms and Reinforcement Learning algorithms are expected to beautify over time causing extra clever systems.

Distributed Computing:With the enhancements of the blockchain era, TPU (Tensor Processing Unit) development, and faster GPU (Graphics Processing Unit) available withinside the cloud, Data Science sees a future in which extra powerful computational hardware aids the algorithms of developing complexity.

Career Growth of Data Science Certification Training in Germany :

The 21 century can be ruled with the resource of the use of records Through . Data Science has grown to be an essential part of many organizations and industries. It provides precious insights into patron behavior that may bring about accelerated conversions, extra genuine market assessment for competitive gain in pricing strategies or product development, advanced operational efficiency, and minimized chance exposure via accurate forecasting models.

Advantages Of Data Science Online Training :

1. Increases commercial enterprise predictability

When a business enterprise invests in structuring its records, it can work with what we call predictive assessment. With the help of the records scientists, it is possible to use era collectively with Machine Learning and Artificial Intelligence to Work with the records that the business enterprise has and, in this manner, carry out extra unique analyses of what is to come. Thus, you grow the predictability of the industrial company and can make selections these days in a manner to affect the future of your industrial company.

2. Ensures real-time intelligence

The records scientists can Work with RPA experts to select out the one-of-a-type records belongings of their industrial company and create automatic dashboards, which are trying to find these kinds of records in real-time in an integrated manner. This intelligence is critical for the managers of your business enterprise to make extra accurate and faster selections.

3. Favors the advertising and income place

Data-driven Marketing is a famous length these days. The cause is simple: most effective with records, we can offer solutions, communications, and products that are probably truly consistent with patron expectations. As we have got seen, records scientists can integrate records from certainly considered one among the type belongings, bringing even extra accurate insights to their team. Can you consider obtaining the entire patron journey map considering all the touchpoints your patron had collectively at the side of your brand? This is possible with Data Science.

4. Improves facts security

One of the blessings of Data Science is the Work is executed withinside the vicinity of records security. In that sense, there can be a global of possibilities. The records scientists Work on fraud prevention systems, for example, to keep your business enterprise’s customers safer. On the opportunity hand, he can also examine everyday types of behavior in a business enterprise’s systems to select out out possible architectural flaws.

5. Helps interpret complicated facts

Data Science is an incredible solution while we want to transport one-of-a-type records to understand the industrial company and the market better. Depending on the tools we use to build up records, we can mixture records from “physical” and virtual belongings for better visualization.

6. Online Facilitates the decision-making process

Of course, from what we have got exposed so far, you need to already consider that one of the blessings of Data Science is improving the choice-making process. This is because of the truth we can create tools to view records in real-time, allowing extra agility for industrial company managers. This is executed every with the resource of the use of dashboards and with the resource of the use of the projections which is probably possible with the records scientist’s treatment of records.

Salaries of a Data Scientist In Germany:

Junior data scientists may expect to earn between £25,000 and £30,000 per year, with the possibility of earning up to £40,000 depending on experience. You may expect to earn between £40,000 and £60,000 with a few years of experience. Lead and chief data scientists can make up to £60,000, with individuals earning more than £100,000 in exceptional circumstances. A data scientist's average annual income is Rs. 698,412. An entry-level data scientist may earn about 500,000 per year with less than a year of experience. With 1 to 4 years of experience, data scientists may expect to earn about 610,811 per year. The Data Science issue is one of the most paying jobs withinside the software program application vicinity.

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Data Science Course Key Features

ACTE Germany offers Data Science Training in more than 27+ branches with expert trainers. Here are the key features,

  • One-on-one Doubt Clearance
  • Guaranteed Course Completion
  • Suitable for Beginners & Intermediate
  • Live training with Industry Professionals
  • Completed 500+ Batches
  • Resume Building & Job Orientation Training

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS and National Institute of Education (nie) Singapore.


Syllabus of Data Science Training in Germany
Module 1: Introduction to Data Science with R
  • What is Data Science, significance of Data Science in today’s digitally-driven world, applications of Data Science, elements of Data Science, components of the Data Science lifecycle, introduction to big data and Hadoop, introduction to Machine Learning and Deep Learning, introduction to R programming and R Studio.
  • Hands-on Exercise - Installation of R Studio, implementing easy mathematical operations and logic victimization R operators, loops, if statements and switch cases.
Module 2: Data Exploration
  • Introduction to data exploration, commerce and commercialism data to/from external sources, what is data exploratory analysis, data commerce, data frames, operating with data frames, accessing individual components, vectors and factors, operators, in-built functions, conditional, process statements and user-defined functions, matrix, list and array.
  • Hands-on Exercise -Accessing individual components of client churn data, modifying and extracting the results from the dataset victimization user-defined functions in R.
Module 3: Data Manipulation
  • Need for Data Manipulation, Introduction to duly package, choosing one or more columns with select() function, Filtering out records on the basis of a condition with filter() function, Adding new columns with the mutate() function, Sampling & Counting with sample_fn(), sample_frac() & count() functions, obtaining summarized results with the summarize() function, Combining totally different functions with the pipe operator, Implementing sql like operations with self.
  • Hands-on Exercise -Implementing punctually to perform numerous operations for abstracting over however data is manipulated and stored.

Module 4: Data Visualization
  • Introduction to visualization, differing types of graphs, Introduction to synchronic linguistics of graphics & ggplot2 package, Understanding categorical distribution with geom_bar() function, understanding numerical distribution with geom_hist() function, building frequency polygons with geom_freqpoly(), creating a scatter-plot with geom_pont() function, multivariate analysis with geom_boxplot, univariate Analysis with Bar-plot, histogram and Density Plot, variable distribution, Bar-plots for categorical variables victimization geom_bar(), adding themes with the theme() layer, visualization with portly package & building web applications with shiny R, frequency-plots with geom_freqpoly(), multivariate distribution with scatter-plots and smooth lines, continuous vs categorical with box-plots, subgrouping the plots, working with co-ordinates and themes to make the graphs more presentable, Intro to plotly & various plots, visualization with gives package, geographic visualization with ggmap(), building web applications with shiny R.
  • Hands-on Exercise -Creating data visualization to know the client churn ratio using charts using ggplot2, Portly for importing and analyzing data into grids. You'll visualize tenure, monthly charges, total charges and alternative individual columns by victimization the scatter plot.
Module 5: Introduction to Statistics
  • Why do we want Statistics?, Categories of Statistics, Statistical applied Terminologies, Types of Data, Measures of Central Tendency, Measures of Spread, Correlation & Covariance, Standardization & Normalization, Probability & Types of Probability, Hypothesis Testing, Chi-Square testing, ANOVA, normal distribution, binary distribution.
  • Hands-on Exercise -– Building a statistical applied analysis model that uses quantifications, representations, experimental data for gathering, reviewing, analyzing and drawing conclusions from data.
Module 6: Machine Learning
  • Introduction to Machine Learning, introduction to Linear Regression, predictive modeling with Linear Regression, simple Linear and multiple Linear Regression, ideas and formulas, assumptions and residual diagnostics in Linear Regression, building simple linear model, predicting results and finding p-value, introduction to logistic regression, comparing linear regression and logistics regression, bivariate & multi-variate logistic regression, confusion matrix & accuracy match of model, threshold evaluation with ROCR, Linear Regression concepts and detailed formulas, various assumptions of Linear Regression, residuals, qqnorm(), qqline(), understanding the fit of the model, building straight forwarding linear model, predicting outline results and finding p-value, understanding the summary results with Null Hypothesis, p-value & F-statistic, building linear models with multiple independent variables.
  • Hands-on Exercise -Modeling the link at intervals within the data using linear predictor functions. Implementing Linear & provision Logistics Regression in R by building model with ‘tenure’ as dependent variable and multiple freelance variables.
Module 7: Logistic Regression
  • Introduction to Logistic Regression, Logistic Regression Concepts, Linear vs Logistic regression, math behind Logistic Regression, detailed formulas, logit operate function and odds, Bi-variate logistic Regression, Poisson Regression, building straightforward “binomial” model and predicting result, confusion matrix and Accuracy, true positive rate, false positive rate, and confusion matrix for evaluating built model, threshold analysis evaluation with ROCR, finding the right threshold by building the ROC plot, cross validation & multivariate logistic regression, building logistic models with multiple independent variables, real-life applications of providing Logistic Regression.
  • Hands-on Exercise -Implementing prognosticative analytics by describing the data and explaining the relationship between one dependent binary variable and one or a lot of binary variables. You'll use glm() to create a model and use ‘Churn’ as the dependent variable. Module 8: Decision Trees & Random Forest
Module 8: Decision Trees & Random Forest
  • What is classification and totally different classification techniques, introduction to Decision Tree, algorithm for decision tree induction, building a decision tree in R, creating a perfect Decision Tree, Confusion Matrix, Regression trees vs Classification trees, introduction to ensemble of trees and bagging, Random Forest concept, implementing Random Forest in R, what is Naïve Bayes, Computing Possibilities, Impurity Function – Entropy, understand the ideas of information gain for right split of node, Impurity Function – Information gain, understand the concept of Gini index for right split of node, Impurity Function – Gini index, understand the concept of Entropy for right split of node, overfitting & pruning, pre-pruning, post-pruning, cost-complexity pruning, pruning decision tree and predicting values, realize the right no of trees and evaluate performance metrics.
  • Hands-on Exercise -Implementing Random Forest for both regression and classification problems. You will build a tree, prune it by using ‘churn’ because of the dependent variable and build a Random Forest with the proper of trees, victimization ROCR for performance metrics.
Module 9: Unsupervised learning
  • Introduction to association rule Mining & Market Basket Analysis, measures of Association Rule Mining: Support, Confidence, Lift, Apriority algorithm & implementing it in R, Introduction to Recommendation Engine, user-based cooperative filtering & Item-Based Cooperative Filtering, implementing Recommendation Engine in R, user-Based and item-Based, Recommendation Use-cases. Hands-on Exercise -Deploying association analysis as a rule-based machine learning method, identifying strong rules discovered in databases with measures based on fascinating discoveries.
  • Hands-on Exercise -Deploying unsupervised learning with R to achieve clustering and dimensionality reduction, K-means clustering for visualizing and interpreting results for the customer churn data.
Module 10: Association Rule Mining & Recommendation Engine
  • Introduction to association rule Mining & Market Basket Analysis, measures of Association Rule Mining: Support, Confidence, Lift, Apriori algorithm & implementing it in R, Introduction to Recommendation Engine, user-based collaborative filtering & Item-Based Collaborative Filtering, implementing Recommendation Engine in R, user-Based and item-Based, Recommendation Use-cases.
  • Hands-on Exercise -Deploying association analysis as a rule-based machine learning method, identifying strong rules discovered in databases with measures based on interesting discoveries.
Module 11: Introduction to Artificial Intelligence (self paced)
  • introducing Artificial Intelligence and Deep Learning, what is an Artificial Neural Network, TensorFlow – computational framework for building AI models, fundamentals of building ANN using TensorFlow, working with TensorFlow in R.
Module 12: Time Series Analysis (self paced)
  • What is Time Series, techniques and applications, parts of Time Series, moving average, smoothing techniques, exponential smoothing, univariate time series models, multivariate time series analysis, Arima model, Time Series statistic in R, sentiment analysis in R (Twitter sentiment analysis), text analysis.
  • Hands-on Exercise -Analyzing time series of statistic data, sequence of statistic measurements that follow a non-random order to identify the nature of development and to forecast the future run values in the series.
Module 13: Support Vector Machine - (SVM) (self paced)
  • Introduction to Support Vector Machine (SVM), Data classification treatment using SVM, SVM Algorithms using mistreatment Separable and Inseparable cases, Linear SVM for characteristics margin hyperplane.
Module 14: Naïve Bayes (self paced)
  • what is Bayes theorem, What's Naïve Bayes Classifier, Classification Workflow, However Naïve Bayes classifier works, Classifier building in Simit-learn, building a probabilistic classification model using Naïve Bayes, Zero chance drawback Probability Problem.
Module 15: Text Mining (self paced)
  • Introduction to ideas of Text Mining, Text Mining use cases, understanding and manipulating text with ‘tm’ & ‘stringR’, Text Mining Algorithms, Quantification of Text, Term Frequency-Inverse Document Frequency (TF-IDF), After TF-IDF.
Module 16: Case Study
  • This case study is related to the modeling technique of Market Basket Analysis wherever you'll study about loading of data, numerous techniques for plotting the things and running the algorithms. It includes checking out what are the items that go hand in hand and thence will be clubbed together. This can be used for various real world eventualities like a supermarket shopping cart and so on.
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Get Hands-on Knowledge about Real-Time Data Science Projects

Project 1
Fake News Detection

The goal of this project is to create a real-time machine learning model determine the legitimacy of social media news.

Project 2
Forest Fire Prediction

To deal with such a calamity, a large sum of money must be spent on infrastructure, as well as control and handling.

Project 3
Road Lane Line Detection

In this project, lines placed on the road provide lane detection instructions to a human driver and detections.

Project 4
Driver Drowsiness Detection

The major goal of this project is to detect when a driver may become tired and fall asleep while driving.

Our Recruiting Partner for Placements

ACTE Germany offers placement opportunities as add-on to every student / professional who completed our classroom or online training. Some of our students are working in these companies listed below.

  • We are associated with a dedicated Placement support team that provides the necessities of Learners on Hiring.
  • After completing the Data science Online Course, we will organize the interview calls to students & prepare them for F2F synergy.
  • We are associated with TOP IT resistant companies like HCL, Wipro, Dell, HP, Accenture, Google, CTS, TCS, IBM, etc. It makes us fit to put our applicants in top MNCs across the globe.
  • Data Science Trainers assist students in developing their resume matching the current industry needs
  • Trainers instruct the students in developing their skills matching the present enterprise essentials.
  • We will schedule Mock Exams and Mock Interviews to upskill the candidates' knowledge.

Get Certified in Data Science with Industry Recognized ACTE Certificate

ACTE Data Science Training Certificate is authorized by all Worldwide Organizations and all over the globe. After completion of the entire program will provide the certificates for both the candidates and the professional instructors. Our trainers helped the candidates to get certified the other certification like CCA and CCP are the top-level proving your advanced skills and deep knowledge of Machine Learning. ACTE Data Science Certification will enhance the significance of your resume. It will lead you to a wide range of opportunities in your Career Path. This Certificate will help you to adopt new skills in the development of advanced concepts of Data Science.

Our ACTE Instructors will help the students to grab the knowledge on Other Data Science Programming and trained them to get other certification which is listed below:

  • Dell EMC Proven Professional Certification Program
  • Certified Analytics Professional
  • SAS Academy for Data Science
  • Microsoft Certified Solutions Expert
  • Cloudera Certified Associate
  • Cloudera Certified Professional - CCP Data Engineer
  • Data Science Certificate
  • Amazon AWS Big Data Certification
  • Oracle Certified Business Intelligence

  • Knowing a few algorithms well is better than knowing about many algorithms and linear regression, k-means clustering, and logistic regression well, can explain and interpret their results.
  • Most of the time, once you use associate degree formula, it'll be a version from a library. You’ll rarely be implementations SVM concepts.
  • Adopt a resource from good study books and e-learning methods according to your exam preparation.
  • Join Our ACTE Data Science Training Course get communicate with our instructors will get an idea regarding the subject and schedule the study plan for the certification exam.

With Data Science Training certificate you will hire for the following jobs:

  • Data Analyst
  • Data Engineers
  • Database Administrator
  • Machine Learning Engineer
  • Data Scientist
  • Data Architect
  • Statistician
  • Business Analyst
  • Data and Analytics Manager

Complete Your Course

a downloadable Certificate in PDF format, immediately available to you when you complete your Course

Get Certified

a physical version of your officially branded and security-marked Certificate.

Get Certified

About Qualified Data Science Instructor

  • Our Data Science Training in Germany have certified professionals with 9+ years of experience currently working employees with organizations like Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
  • The trainers demonstrate many live projects for the training candidates during their training sessions.
  • Tutors will insist the candidates get placed in their respective companies through Employee referral or Internal Hiring Process.
  • Our ACTE tutors are industry-experts and subject specialists who have mastered running applications Providing to them
  • Our Mentors provide our learners with valuable insights into Interview scenarios and questions, as well as thorough Interview preparation and Soft Skills in Best Data Science Certification in Germany to the students.
  • ACTE Training Institute received prestigious awards for Data Science Training in Germany from recognized IT industries.

Data Science Course Reviews

Our ACTE Germany Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.



ACTE is the best training institute for Data science and Data Analytics in BTM Layout. The trainers are well experienced and the methodology of teaching is top notch. They provide practicals along with theoretical sessions for complete understanding of the concepts. They even provide placement assistance after course completion as well.

Suresh Kumar

Software Engineer

ACTE is very good platform to achieve knowledge in depth and They are providing placement for getting Job my experience and i have completed Data Science course in Germany and ACTE was wonderful not only in terms of understanding the technology but also provides hands on practice to work on technology practically and the faculty is Extremely good and they help students in each and every way possible


Best DATA SCIENCE training institute in Tambaram with Realtime client projects and dedicated support team. I have taken Data science training on this January and completely happy with their teachings, projects and job support after the course completion. It's a One stop destination for your data science And AI training in BTM Layout.



ACTE for your career switch to Data Science..They have well experienced Trainers in ACTE who can make you industry ready. Curriculum is quite unique and includes current industry needs. They give very good job assistance also.


Software Engineer

Its a good institute for Data Science in Porur. The teaching staff is good, they give us day wise assignments which helped me to hands on algorithms of machine learning and also provide us the backup classes. The access they provide is very helpful to listen the classes repeatedly. They provide good placement assistance. Thanks social ACTE team for your support and guidance.

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Data Science Course FAQs

Looking for great Discount Price?

Call now: +91 93833 99991 and know the exciting offers available for you!
  • ACTE training institute is the Legend in offering placement to the students. Please visit our Placed Students List on our website
  • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
  • More than 3500+ students placed in last year in India & Globally
  • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • We have 85% percent of placement record.
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
    ACTE Gives Certificate For Completing A Course
  • Certification is Accredited by all major Global Companies
  • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
  • The entire Data Science training has been built around Real Time Implementation according to the Corporate firms.
  • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
  • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

Why Should I Learn Data Science Course At ACTE?

  • Data Science Course in ACTE is designed & conducted by Data Science experts with 10+ years of experience in the Data Science domain
  • Only institution in India with the right blend of theory & practical sessions
  • In-depth Course coverage for 60+ Hours
  • More than 50,000+ students trust ACTE
  • Affordable fees keeping students and IT working professionals in mind
  • Course timings designed to suit working professionals and students
  • Interview tips and training
  • Resume building support
  • Real-time projects and case studies
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Data Science batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Data Science. The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
You can contact our support number at +91 93800 99996 / Directly can do by's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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Request for Class Room & Online Training Quotation

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