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Data Science Training in Lucknow

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  • The field of data science is a relatively new one, and this course examines the crucial tools and concepts needed, including machine learning, statistical analysis, and working with data at scale.
  • In the following sections, we will discuss the entire data science process as well as the various roles and skills required. Afterwards, you'll learn how to obtain data from different sources, including web APIs and pages scraped from the internet.
  • Learn how to work with data using tools like R, Python, the command line, and even spreadsheets.
  • A powerful data-analysis technique will be discussed as well. This class will cover a number of techniques for planning, performing, and presenting data science projects. These will get you started in data science and make you more efficient with the available data.
  • Throughout the course, you will be provided with the ultimate toolkit for a data science career. An overview of the field and its different career paths will be provided, such as Product Analyst, Data Engineer, Data Scientist, and many others.
  • Having the knowledge of the various options available will help you take full advantage of them. The course covers a wide range of topics, including probability, statistics, machine learning, product metrics, a variety of data sets, A/B testing, and market analysis, among others.
  • Several world-renowned technology companies will contribute to this course, including Amazon, Square, Facebook, Google, Microsoft, AirBnB, and more!
  • For each question in the course, detailed explanations and solutions will be provided. It also provides you with the opportunity to prepare for exams and serve as a reference while working.
  • You must be familiar with the following topics if you want to pass the interview.
  • With this curriculum, students will understand the subject better. Through our program, we help students prepare for job interviews and find employment with reputable companies.
  • 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
  • D3 MATLAB
  • 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 Lucknow?

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 Training in Lucknow

Data research is the research of real responses, like herbal technology, of natural technology. Information is actual, data has actual properties, and in case we're to chip away at them we want to pay attention to them. Information technology carries data and positive symptoms and symptoms are not an occasion, it's miles a cycle. This Data Science Training in Nagpur has the interplay is to make use of data to realize and spot an immoderate range of numerous things. Allow us to anticipate when you have a problem version or rationalization, and also you try to approve your data with that rationalization or version. They are the capability to reveal (or extract) the bits of expertise and styles at the back of the data. It is via way of means of deciphering facts right into a story. Use narrating for expertise. Furthermore, you could choose an agency or status quo intentionally with this perception.

The facts research looks at bodily reactions, like organic technology, of organic technology. Data is actual, facts have actual properties, and if we're to paintings on them we ought to look at them. Data technology consists of facts and positive signs isn't an event, it's miles a procedure. This Data Science Training in Lucknow has the procedure is to apply facts to apprehend and apprehend too many specific things. Let us anticipate when you have a hassle version or clarification, and also you try and validate your facts with that clarification or version. They are the cap potential to uncover (or abstract) the insights and developments at the back of facts. It is via way of means of translating data right into a story. Use storytelling for perception. And you could pick out an agency or group strategically with this perception.

 

Additional Info

About Data Science:

Data Science remains a state-of-the-art problem amongst educated specialists and businesses targeted on gathering facts and extracting applicable insights from it to assist groups to flourish. A massive quantity of facts may be useful to any agency, however handiest if it's miles processed correctly. When we entered the age of huge facts, the call for garages accelerated tenfold. Until 2010, the number one consciousness turned into on growing a modern infrastructure to shop these treasured facts, which could eventually be accessed and processed to generate enterprise insights. With frameworks like Hadoop looking after the garage, the eye has now switched to processing this fact. Let's have a take a observe what facts technology is and the way it suits into the contemporary-day country of huge facts and groups.


Why do groups want Data Science Online Training?

We've advanced from running with tiny collections of dependent facts to big mines of unstructured and semi-dependent facts coming in from quite a few assets. When it involves processing this massive quantity of unstructured facts, standard Business Intelligence technology falls short. As a result, Data Science consists of extra complicated gear for running with tremendous volumes of facts from numerous reasserts inclusive of monetary logs, multimedia files, advertising and marketing paperwork, sensors and equipment, and textual content files.


Who oversees the facts technology procedure?

    At maximum associations, data technology tasks are generally supervised via way of means of 3 varieties of administrators:

  • These managers collaborate with the data technology group to signify the hassle and increase an inquiry method. They may be on the pinnacle of an enterprise line, inclusive of advertising, cash, ordeals, and feature a data technology organization reporting to them. They collaborate intently with the data technology and IT administrators to make sure that moves are communicated.
  • Senior IT managers are answerable for the framework and engineering to be able to help data technology tasks. They are continuously scrutinizing sports and asset usage to make sure that data technology agencies carry out correctly and safely. They can also be held answerable for production upkeep and fresh IT situations for data technology agencies.
  • Administrators of data technology These managers are in rate of the data technology organization and their everyday operations. They are organization producers who can stability organization development with task making plans and monitoring.

Top Qualities of a Good Data Scientist:

  • Statistical Thinking.
  • Technical Acumen.
  • Multi-modal conversation skills.
  • Curious thoughts.
  • Creativity.

Roles and Duties of facts technology::

    What is a facts scientist?
  • Information technology is a brand new declare to fame. It outgrew the domain names of quantitative evaluation and facts mining. The International Council for Science in Nagpur: Committee on Data for Science and Technology posted the Data Science Journal in 2002. By 2008, the period of data researcher had emerged, and the sphere took off instantly. Since then, there was a lack of data researchers, even though more and more faculties and universities path have all started to offer data technology certifications in Nagpur.
  • A data researcher's duties may also consist of growing structures for reading facts, making ready facts for research, and undertaking Investigating training, dissecting, and visualizing facts, developing fashions with facts the usage of pc languages inclusive of Python and R, and deploying fashions into apps.
  • The data researcher isn't a lone worker. The nice data technology is finished in teams. Aside from a data researcher, this organization may also consist of an enterprise investigator who characterizes the problem, a data engineer who prepares the data and the way its miles accessed, an IT modeler who directs the hidden cycles and foundation, and a software fashion dressmaker who converts the fashions or consequences of the research into packages and items.
  • Responsibility:
  • Predictive causal analytics – If you want a version that could count on the cap potential consequences of a selected occasion, later on, you want to use prescient causal research. Say, in case you are giving coins the usage of a credit score card, the probability of customers making destiny credit score installments on time includes fear for you. Here, you could bring together a version that could carry out a prescient exam at the installment records of the patron to foresee if the destiny installments may be on time table or not.
  • Prescriptive analytics: If you want a version that has the perception of taking its personal alternatives and the capability to regulate it with dynamic boundaries, you want prescriptive research for it. This truly new area is tied in with giving counsel. In different words, it anticipates and recommends more than a few advocated moves and related consequences.
  • The nice version for that is Google's self-using car, which I've already discussed. The facts amassed via way of means of cars may be used to put together self-using vehicles. You can carry out calculations in these facts to feature experts to it. This will empower your car to take alternatives like whilst to show, which manner to take whilst to dial again or accelerate.
  • Machine gaining knowledge for making predictions — If you've got value-primarily based totally data of a cash agency and want to bring together a version to determine the destiny sample, then, at that point, AI calculations are the neatest option. This falls below the worldview of controlled gaining knowledge of. It is known as controlled due to the fact you as of now have the data depending on which you could put together your machines. For instance, a misrepresentation popularity version may be organized to make use of a real file of faux buys.
  • Machine gaining knowledge for sample discovery — If you do not know the bounds on which to create forecasts, you may want to discover the hidden examples withinside the dataset which will make massive predictions. Because you have no predefined marks for gathering, that is simply the unaided version. Clustering is a completely properly calculation used for layout revelation.
  • Suppose you're running in a telecellsmartphone agency and also you want to accumulate an agency via way of means of putting towers in a locale. Then, at that point, you could make use of the grouping method to find out the top regions a good way to assure that each one of the customers receives the best signal strength. These are the fields you want in case you require to develop as a Data Scientist.

Benefits Of Data Science Online Certification Course:

1. Microsoft Data science server skills

Microsoft advanced the Data science server that it uses to save and retrieve data from software program application packages that request it. It runs on all main versions of the Windows strolling system and works withinside the customer software program application and internet servers. Many groups use this specific Data science to save and retrieve data, so mastering the manner to engage with Microsoft Data science, in specific, permits you to familiarize yourself with the server's great database.

2. Execution skills

An execution plan is a seen example of approaches a database engine executes queries, which is probably asked to get proper of access to data. It's critical to have sufficient execution skills to recognize the overall performance of a query and troubleshoot underperforming or nonfunctional ones. This capacity helps you to decorate and hold a database's query ordinary overall performance, which moreover allows groups maintaining farfar from traditional data ordinary overall performance troubles.

3. Database manage

Database manage skills make sure that you could create backups on your data, allowing you and your organization to have possibility options if a initial database will become damaged, out of place or corrupted. When locating out the manner to backup data, programmers often select out from four options: entire backup, differential, tail log or transactional log backup. Each form of backup suits specific dreams, and know-how which one is a genuinely ideal choice for the specific data that dreams backing up is critical whilst working with data.

4. PHP skills

PHP is one of the maximum well-known scripting languages used for net web website online improvement. While mastering it does now not straight away relate to improving your Data science skills, it's far however a useful capacity to study as it can help you recognize a web web website online as an entire. Programmers often use PHP to assemble a site and Data science to engage and request data on a site. Becoming familiar with every of these languages allows a programmer to absolutely recognize how a web web website online and the data on a web web website online carry out and engage.

5. Data science Joins skills

Programmers use Data science Joins clauses to combine gadgets of data the usage of values which may not be an uncommon vicinity to each set. Understanding Data science Joins clauses allows you to merge data from more than one tables, making it much less complex to analyze severa gadgets of data that require the combination. Familiarity with Joins clauses allows to quicken the method of blending data and executing queries in evaluation to distinct techniques, which includes subqueries.

6. Indexing skills

Database indexes have an impact on how rapid a query is executed. Programmers impose order onto the right tables of data to allow indexes to be function correctly. Ideally, this ensures that queries fetch the required data in a nicely timed fashion. Poor indexing also can moreover prevent ordinary overall performance. Once you study the reasons for the usage of indexes and the manner to apply them, incorporating them into your programming will become a persevering with method.

7. Related Data science system skills

Data science uses various systems to save its data. Systems which includes MyData science and PostgreData science have grown to be crucial in providing garages for Data science. They are open-sourced, accessible, and use the same syntax as essential Data science. Choosing the right database a few of the 2 systems also can moreover offer you with a persevering with amusement of Data science. They can also help limit customers, manage the proper of access to and perform sensitive responsibilities.

8. OLAP skills

Online Analytical Processing (OLAP) describes a form of database that analyzes data an entire lot faster and in a further modern manner than distinct databases. It offers the capability for complex data based on overall calculations. While conducting this capacity takes time, it allows making positive you recognize your business employer's data in a much greater targeted manner. However, because of the reality data and technology are constantly changing, this is an capacity that requires updating and relearning.

9. Technical Data science data assessment

Data science has had a big impact at the marketing and marketing field. From data assessment and structuring to collation, this language can cope with various sorts of data effectively. Data assessment skills make sure that you recognize the behaviors and kinds of your aim audience. From this, you could market products to specific demographics, counting on what specific data indicate.

10. Managing database structure

Windows, Apache, MyData science, and PHP (WAMP) is a software program application stack that, whilst used together, can quicken strategies associated with growing and coping with internet webweb sites. Once you've got acquired familiarity with essential Data science skills, it can be critical to study this entire stack to absolutely familiarize yourself with the functions of your organization's internet webweb sites and data.

Data science Certification and Online Course:

With a real-time Database venture experience furnished at the quit of the Data science course, this certification states that the candidate has received the critical skills to artwork as a Data science Developer. Providing that Data science certificate along with your resume at the time of the interview aids in prioritizing your profile and moreover permits you to access pr ble expert opportunities.

Data science Certification Course in Toronto imparts the critical capacity gadgets that are required for a professional Data science Developer below the steerage of our Real-time professionals. Data science Training in Toronto is furnished thru a manner of methods of professionals who have 8+ years of experience inside the Database Development platform. The global certifications include – IBM Certified Database Administrator DB2, Oracle Database Certified Administrator, Oracle Certified Professional, MyData science Database Administrator, and Microsoft Data science Server database certifications.

Modules Of Data science:

  • Databases and relationships.
  • Data science instructions and question gear are available.
  • Aggregating functions.
  • Sort the listing through clause.
  • Tables and joins.
  • Subqueries.
  • Data manipulation.
  • Transactional manage.
  • Opinions and techniques are facets of the identical coin.

Features Of Data science:

  • Earning this Microsoft access-diploma certification validates your understanding of facts thoughts applied in Microsoft Azure facts services, inclusive of ways databases artwork with PostgreData science and MyData science.
  • This certification extends beyond Data science to demonstrate your understanding of relational and non-relational facts, similarly to facts workloads.
  • The Oracle Database Data science Certified Associate Certification validates your understanding of crucial Data science thoughts, it really is especially crucial even as working with the Oracle Database server.
  • The certification will screen your understanding in Data science, facts modeling, and table-use, among distinct things.
  • One certification exam ought to be passed.
  • IBM offers three Certified Database Associate Certifications for individuals who want to demonstrate their understanding of the Informix or Db2 relational database management systems.
  • There is the most effective exam required for the MyData science 5.7 Database Administrator Certification a good way to affirm your understanding in MyData science, an Oracle relational database management system.
  • The certification will screen crucial MyData science understanding which includes installation, configuration, and monitoring of the database management system.
  • The PostgreData science 12 Associate Certification from EDB validates your understanding of the fundamentals required to artwork with PostgreData science servers.
  • PostgreData science is a relational database that without issues scales in huge organizations.

Pay Scale Of Data science Developer:

Structured Query Language is the enterprise favored for managing relational databases. This necessitates command and language comprehension. The median revenue presented for an entrant Database Developer in India is 60k to Rs. 20k consistent with annum. Data science Developers with mid-yr enjoy can earn around 30k to 650k consistent with annum. Data science Developers are worried about what information is withinside the database, the manner it desires to be manipulated, and what insights want to be generated. In this article, we are going to examine the global Data science Developer Salary and why every business employer requires one. The not unusualplace profits for a Data science Developer is ₹203k - ₹895k consistent with the month.

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Key Features

ACTE Lucknow offers Data Science Training in more than 27+ branches with expert trainers. Here are the key features,
  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

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.
 

Curriculum

Syllabus of Data Science Course in Lucknow
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, lifecycle 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 simple mathematical operations and logic using R operators, loops, if statements and switch cases.
Module 2: Data Exploration
  • Introduction to data exploration, importing and exporting data to/from external sources, what is data exploratory analysis, data importing, dataframes, working with dataframes, accessing individual elements, vectors and factors, operators, in-built functions, conditional, looping statements and user-defined functions, matrix, list and array.
  • Hands-on Exercise -Accessing individual elements of customer churn data, modifying and extracting the results from the dataset using user-defined functions in R.
Module 3: Data Manipulation
  • Need for Data Manipulation, Introduction to dplyr package, Selecting 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_n(), sample_frac() & count() functions, Getting summarized results with the summarise() function, Combining different functions with the pipe operator, Implementing sql like operations with sqldf.
  • Hands-on Exercise -Implementing dplyr to perform various operations for abstracting over how data is manipulated and stored.
Module 4: Data Visualization
  • Introduction to visualization, Different types of graphs, Introduction to grammar of graphics & ggplot2 package, Understanding categorical distribution with geom_bar() function, understanding numerical distribution with geom_hist() function, building frequency polygons with geom_freqpoly(), making a scatter-plot with geom_pont() function, multivariate analysis with geom_boxplot, univariate Analysis with Bar-plot, histogram and Density Plot, multivariate distribution, Bar-plots for categorical variables using geom_bar(), adding themes with the theme() layer, visualization with plotly package & building web applications with shinyR, 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 ggvis package, geographic visualization with ggmap(), building web applications with shinyR.
  • Hands-on Exercise -Creating data visualization to understand the customer churn ratio using charts using ggplot2, Plotly for importing and analyzing data into grids. You will visualize tenure, monthly charges, total charges and other individual columns by using the scatter plot.
Module 5: Introduction to Statistics
  • Why do we need Statistics?, Categories of Statistics, Statistical 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 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, concepts 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 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 simple linear model, predicting 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 relationship within the data using linear predictor functions. Implementing Linear & Logistics Regression in R by building model with ‘tenure’ as dependent variable and multiple independent variables.
Module 7: Logistic Regression
  • Introduction to Logistic Regression, Logistic Regression Concepts, Linear vs Logistic regression, math behind Logistic Regression, detailed formulas, logit function and odds, Bi-variate logistic Regression, Poisson Regression, building simple “binomial” model and predicting result, confusion matrix and Accuracy, true positive rate, false positive rate, and confusion matrix for evaluating built model, threshold 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 Logistic Regression
  • Hands-on Exercise -Implementing predictive analytics by describing the data and explaining the relationship between one dependent binary variable and one or more binary variables. You will use glm() to build a model and use ‘Churn’ as the dependent variable.
Module 8: Decision Trees & Random Forest
  • What is classification and 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 Naive Bayes, Computing Probabilities, Impurity Function – Entropy, understand the concept 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, find 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’ as the dependent variable and build a Random Forest with the right number of trees, using ROCR for performance metrics.
Module 9: Unsupervised learning
  • What is Clustering & it’s Use Cases, what is K-means Clustering, what is Canopy Clustering, what is Hierarchical Clustering, introduction to Unsupervised Learning, feature extraction & clustering algorithms, k-means clustering algorithm, Theoretical aspects of k-means, and k-means process flow, K-means in R, implementing K-means on the data-set and finding the right no. of clusters using Scree-plot, hierarchical clustering & Dendogram, understand Hierarchical clustering, implement it in R and have a look at Dendograms, Principal Component Analysis, explanation of Principal Component Analysis in detail, PCA in R, implementing PCA in R.
  • 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, components of Time Series, moving average, smoothing techniques, exponential smoothing, univariate time series models, multivariate time series analysis, Arima model, Time Series in R, sentiment analysis in R (Twitter sentiment analysis), text analysis.
  • Hands-on Exercise -Analyzing time series data, sequence of measurements that follow a non-random order to identify the nature of phenomenon and to forecast the future values in the series.
Module 13: Support Vector Machine - (SVM) (self paced)
  • Introduction to Support Vector Machine (SVM), Data classification using SVM, SVM Algorithms using Separable and Inseparable cases, Linear SVM for identifying margin hyperplane.
Module 14: Naïve Bayes (self paced)
  • what is Bayes theorem, What is Naïve Bayes Classifier, Classification Workflow, How Naive Bayes classifier works, Classifier building in Scikit-learn, building a probabilistic classification model using Naïve Bayes, Zero Probability Problem.
Module 15: Text Mining (self paced)
  • Introduction to concepts 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 associated with the modeling technique of Market Basket Analysis where you will learn about loading of data, various techniques for plotting the items and running the algorithms. It includes finding out what are the items that go hand in hand and hence can be clubbed together. This is used for various real world scenarios like a supermarket shopping cart and so on.
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Hands-on Real Time Data Science Projects

Project 1
Uber Data Analysis in R Project

Uber Data Analysis through Visualisations in R. Data storytelling is an important component of Machine Learning through which companies are able to understand.

Project 2
Driver Drowsiness Detection in Python Project

The objective of this intermediate Python project is to build a drowsiness detection system that will detect that a person's eyes are closed for a few seconds.

Project 3
Chatbot Project in Python

In this Python project with source code, we are going to build a chatbot using deep learning techniques and trained on the dataset which contains categories, pattern and responses.

Project 4
Handwritten Digit Recognition Project

The aim of this project is to implement a classification algorithm to recognize handwritten digits and pattern recognition that no single classifier performs the best.

Our Best Hiring Placement Partners

ACTE Lucknow  offers arrangement openings as extra to each understudy/proficient who finished our study hall or internet preparing. A portion of our understudies are working in these organizations recorded underneath. We offers arrangement backing is probably the best assistance upon fruitful finish of any course from our institute we help the trained to land their fantasy position by giving placement opportunities.
  • We will schedule interview calls for applicants and prepare them for face-to-face contact after they have completed 70% of the Data Science training course material.
  • Work plan for the right contenders. absolutely an undertaking coordinated course, which covers the specific progress starting from the extraordinarily pressing and walk around the basic level and, thusly, it gives tremendous level of data in singular new development.
  • During the social gathering, implying this master accomplishment assertion on student continue has a huge impact and makes the constancy of understudy resume.it likewise improves it's anything but's a more broad level of work openings.
  • Our circumstance get groups together with over 600+ accomplices. Our outline specialists work with the total of our helpful understudies and firms like as HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM, HDFC, AMAZON, PAYPAL, and others from one side.
  • We have separate applicants entryways for circumstance, here understudy will get all the get-together schedules and we brief understudy through messages.
  • We will make plans to conduct Mock Exams and Mock Interviews to find the skillful Candidate for our hiring partners.

Get Certified By MCSE: Data Management and Analytics & Industry Recognized ACTE Certificate

Acte Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher's as well as corporate trainees. Our certification at Acte is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC's of the world. The certification is only provided after successful completion of our training and practical based projects.

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.

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About Satisfactory Data Science Trainer

  • Our Data Science Training in Lucknow. Our mentor give a blend of class, instructor drove on the web, and E-learning decisions to ensure that competitors get changed training and advance their assumption to learn and change.
  • Our Data Science Training mentor are incredibly outfitted specialists with more than 9+ wide stretches of unsurprising position who are comprehensively seen as the best in the business and now serve for tremendous affiliations.
  • Our mentor give a blend of class, instructor drove on the web, and E-learning decisions to ensure that competitors get changed training and advance their assumption to learn and change.
  • Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Data Science Training to the applicants.
  • Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
  • Latest interpretation Data Science Training accounts guaranteed and Complete plan of stories like live online social events.

Data Science Course Reviews

Our ACTE Lucknow 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.

Nandhini

Student

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.

Monisha

Software Engineer

An excellent Data Science authorized training center at Lucknow. Good facilites and effective trainers in ACTE. Prompt and transparent placement process. They also provide effective counselling through sessions every month to guide candidates....

Ebenazar

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.

Illakiya

Student

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.

Tharani

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 better Discount Price?

Call now: +91 93833 99991 and know the exciting offers available for you!
  • ACTE 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.
  • 85% percent 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
  • 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 ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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