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Data Science Certification Training in Riyadh

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  • We train students for interviews and Offer Placements in corporate companies.
  • Ideal for graduates with 0 – 3 years of experience & degrees in B. Tech, B.E and B.Sc. IT Or Any Computer Relevent.
  • You will not only gain knowledge of Data Science Certification and Advance tools, but also gain exposure to Industry best practices, Aptitude & SoftSkills.
  • Experienced Trainers and Lab Facility.
  • IBM Data Science Certification Professional Certificate Guidance Support with Exam Dumps.
  • For Corporate, we act as one stop recruiting partner.We provide right skilled candidates who are productive right from day one.
  • Resume & Interviews Preparation Support.
  • Concepts: Data Science Certification , significance of Data Science Certification in today’s digitally-driven world, components of the Data Science Certification 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 Riyadh?

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 Riyadh

Our Data Science Training in Riyadh has current labs and infrastructure to provide you hands-on training. In addition, we provide certification training in Data Science. We have efficaciously taught and placed lots of our university college students in large international agencies after they have completed the Data Science Training path. We deliver 100% placement help to our university college students. We provide Classroom Training, Weekend Training, and a Fast Song Route for fun Data Science Training in Riyadh. Students can pick the most available journey times for them.

To outline records Data Science expertise and enhance records Data Science expertise task management, begin with its existence cycle. The first degree withinside the Data Science expertise pipeline workflow is the capture: gathering records, extracting them while necessary, and getting into it into the tool. Data warehousing, records cleansing, records processing, records staging, and records shape are blanketed withinside the maintenance degree.

Additional Info

Introduction of Data Science Online Certification :

Data processing follows and constitutes one of the records of Data Science expertise fundamentals. It is withinside the path of records exploration and processing that records scientists stand other than records engineers. This degree includes records mining, records beauty and clustering, records modeling, and summarizing insights gleaned from the records—the strategies that create powerful records. Next comes records evaluation, and an in addition crucial degree. Here are records of scientists' behavior exploratory and confirmatory Work, regression, predictive evaluation, qualitative evaluation, and textual content mining. This degree is why there may be no such aspect as cookie-cutter records Data Science expertise—at the same time as it’s executed properly.

Roles of Data Science Online Training :

    “Data Science” refers to a huge series of set up, semi-set up, or unstructured heterogeneous records. Databases are commonly now not able to cope with such voluminous datasets. As said earlier, the vital element of Data Science is Data. “The large the records, the higher the insights,” frequently of thumb goes. As a result, Data Science is an essential aspect of the Data Science project.

  • Internet Search Results (Google):
  • When a person searches for something on Google, complicated Machine Learning algorithms decide which may be the maximum applicable outcomes for the quest length (s). These algorithms assist to rank pages such that the maximum applicable records are supplied to the individual at the pressing of a button.

  • Recommendation Engine (Spotify):
  • Spotify is a tune streaming issuer this is pretty famous for its cappotential to signify tracks steady with the flavor of the individual. This is an extremely good instance of Data Science at play. Spotify’s algorithms use the records generated with the beneficial useful beneficial aid of the use of everyone over time to test the individual’s flavor in tune and propose him/her with comparable tune withinside the destiny. This we might also additionally need to the commercial enterprise business enterprise draw more customers because of the reality it is more to be had for the individual to apply Spotify because it does now not call for a whole lot of attention.

  • Intelligent Digital Assistants (Google Assistant):
  • Google Assistant, similar to unique voice or textual content-primarily based virtual assistants (furthermore known as chatbots) is one instance of superior Machine Learning algorithms placed to apply. These algorithms can convert the speech of a person (regardless of one-of-a-kind accents and languages) to textual content, apprehend the context of the textual content/command, and offer applicable records or carry out a favored assignment, all absolutely with the beneficial useful beneficial aid of the use of speaking to the device.

  • Spam Filter (Gmail):
  • Another key software program software of Data Science which we use in our everyday existence is the direct mail filters in our emails. These filters mechanically separate the direct mail emails from the rest, efficaciously giving the individual a miles purifier e mail revel in. Just similar to the unique packages, Data Science is the vital element constructing block here.

  • Abusive Content and Hate Speech Filter (Facebook):
  • Similar to the unsolicited mail filter, Facebook and one-of-a-type social media structures use Data Science and Machine Learning algorithms to ease out an abusive and age-limited content material cloth fabric from the unintentional audience.

  • Automatic Piracy Detection (YouTube):
  • Most movies that can be possibly probable uploaded to YouTube are actual content material cloth fabric fabric fabric created with the beneficial useful beneficial aid of the use of content material cloth fabric fabric fabric creators. However, pretty frequently, pirated and copied movies also are uploaded to YouTube, this is their policy. Due to the sheer quantity of everyday uploads, it isn't always possible to manually stumble upon and takedown such pirated movies. This is wherein Data Science is used to mechanically stumble upon pirated movies and remove them from the platform.

What is Data Science?

Data Science is a multidisciplinary task that makes use of medical inference and mathematical algorithms to extract large data and insights from a huge quantity of set up and unstructured records. These algorithms are finished thru laptop packages which may be commonly run on effective hardware because it calls for a huge quantity of processing. Data Science is a combination of statistical mathematics, device reading, records evaluation and visualization, area data, and laptop Data Science expertise.

As it is obvious from the name, the maximum crucial element of Data Science is “Data” itself. No quantity of algorithmic computation can draw large insights from incorrect records. Data Data Science expertise includes severa kinds of records, for instance, photograph graph records, textual content records, video records, time-based records, etc. Our Data Science Training in Riyadh is well-organized with labs and extremely good infrastructure to provide you hands-on training. In addition, we provide Data Science certification training.

What questions are asked during a data science interview ?

Make positive you cowl variance and preferred deviation, covariance and correlation, the p-value, suggest and median, speculation testing, and data on your task interview preparation. As a facts scientist, you will want all of those ideas, so assume them to return up in task interviews as well.

What is the process of data science ?

Data Science is a place to take a look at that consists of extracting insights from sizeable quantities of facts through the use of several clinical techniques, algorithms, and procedures. The Data Science Process consists of stages consisting of discovery, facts preparation, version planning, version constructing, operationalization, and verbal exchange of outcomes.

Trends Of Data Data Science:

    The task of Data Science has been developing ever because of its onset withinside the length. With time, the growing modern technology is being blanketed inside the task. Some of such more ultra-current-day-day additions are indexed below:

  • Artificial Intelligence:
  • Machine Learning has been one of the huge factors of Data Science. However, with the extended parallel compute capabilities, Deep Learning has been the current-day day and one of the maximum huge additions to the Data Science task.

  • Edge Computing:
  • Edge computing is nowadays an advanced idea and is associated with IoT (Internet of Things). Edge computing places the Data Science pipeline of records series, shipping, and processing withinside the route of the shipping of records. This is possible By IoT and has nowadays been added to be part of Data Science.

  • Security:
  • Security has been a primary assignment withinside the virtual space. Malware injection and the idea of hacking are pretty not unusualplace and all virtual structures are prone to it. Fortunately, there had been few ultra-current-day-day Data Science enhancements that work out Data Science strategies to save you the exploitation of virtual structures. For instance, Machine Learning strategies have set up more functionality of detecting laptop viruses or malware at the same time as in assessment to traditional algorithms.

Skills required to grow to be a Data Scientist:

    As said withinside the preceding section, Data Science is a complicated task. Hence, it calls for the mastery of a couple of sub-fields, which collectively upload as a bargain due to the truth the whole data are required to be a Data Scientist.

    1. Mathematics:

    The first and the maximum crucial task of statement to emerge as a Data Scientist is mathematics; more especially, Probability and Statistics, Linear Algebra, and a few primary Calculus.

    2. Machine Learning Frameworks:

    Machine Learning is a crucial part of Data Science and its implementation includes incredible libraries and frameworks, the data of which may be crucial for any Data Scientist.

    3. Programming Languages (R and Python):

    While any programming language can be applied for any logical use case, which of the route consists of Data Science, R and Python are the maxima broadly used languages. Both of those languages are open source, because of this that they have got a massive network in the back of them. They have many library superiors who have Data Science in mind, and they're without a doubt easy to affirm and use. A Data Scientist can not work out consultation any form of algorithmic or mathematical recordings of records without the data of programming languages.

    4. Proper Programming Environment:

    Because true programming data are one of the maximum vital standards for Data Science, there ought to be a platform available to install, write, and run code. The IDE, or Integrated Development Environment, is the call given to this platform. There are a whole lot of IDEs to choose from, and numerous have proven to be especially powerful for Data Science.

    5. SQL:

    Databases are of huge significance withinside the task of Data Science because of the reality they'll be the maximum appropriate method for storing records. Thorough data of 1 or more database technology like MySQL, MariaDB, PostgreSQL, MS SQL Server, MongoDB, Oracle NoSQL, etc.

    6. Algorithmic Knowledge:

    Even even though Data Science commonly does now not embody the improvement and layout of Algorithms like some one-of-a-type packages of Computer Science does, it is even though crucial for a Data Scientist to have legitimate data of Algorithms. This is due to the truth, at the prevent of the day, Data Scientists are programmers who're predicted to develop packages that could derive large insights from records. Having algorithmic data we might also additionally need the Data Scientist to write down down large green code, which saves each time and component and consequently is as a possible value.

Future of Data Science Certification Training :

Data Science is an ever-developing task and is predicted to broaden in a call for withinside the foreseeable destiny. Some of the vital element adjustments are indexed below.

Data: With the unconventional growth of the generation of records, the overall everyday common universal overall performance of the predictive algorithms goes to enhance over time as more records are to be had to attract inference upon. This phenomenon is fueled with the beneficial useful beneficial aid of the use of the increase of Social Media and IoT-primarily based devices, which generate hundreds of more records.

Algorithms:Machine Learning algorithms like Genetic Algorithms and Reinforcement Learning algorithms are predicted to enhance over time inflicting more smart structures.

Distributed Computing: With the enhancements of the blockchain technology, TPU (Tensor Processing Unit) improvement, and quicker GPU (Graphics Processing Unit) to be had withinside the cloud, Data Science sees a destiny wherein more effective computational hardware aids the algorithms of growing complexity.

Career Growth of Data Science Certification Training in Riyadh :

The 21 century might be dominated with the useful resource of the use of the beneficial useful beneficial aid of the use of records. Data Science has grown to be a crucial part of many companies and industries. It offers valuable insights into patron conduct which can result in extended conversions, more real marketplace evaluation for aggressive benefit in pricing techniques or product improvement, superior operational efficiency, and minimized chance publicity thru correct forecasting models. A facts scientist is a multidisciplinary professional that works with large volumes of facts to discover insights and answers to commercial enterprise challenges. A postgraduate diploma in a technical region, consisting of laptop technological know-how or data, is usually required of facts scientists. Data technological know-how is a remarkable professional option. Data technological expertise experts are wanted in almost every field, from government safety to courting apps. Millions of agencies and government departments depend upon huge statistics to prevail and better serve their clients. Data technological expertise careers are in an immoderate name for and this style will now not be slowing down any time soon, if ever. If you want to break the world of statistics technological expertise, there are a few techniques you could prepare yourself to address the ones hard however thrilling roles. Perhaps most importantly, you could need to affect future employers thru demonstrating your information and previous artwork enjoy. One such way you could assemble the one's competencies and enjoy is to pursue a complex degree software for your vicinity of interest.

Advantages Of Data Science Certification Training :

1. Increases commercial enterprise predictability

1. Increases industrial business enterprise predictability increases commercial enterprise business enterprise predictability will growth agency commercial enterprise business enterprise predictability is a commercial enterprise business enterprise that invests in structuring its records, it can paintings with what we name predictive evaluation. With the assist of the records scientists, it is possible to apply technology together with Machine Learning and Artificial Intelligence to Work with the records that the commercial enterprise business enterprise has and, in this way, perform more specific analyses of what's to return. Thus, you broaden the predictability of the commercial enterprise business enterprise and can make options nowadays in a way to affect the destiny of your agency commercial enterprise business enterprise.

2. Ensures real-time intelligence

Ensures actual-time intelligence ensures real-time intelligence guarantees actual-time intelligence ensures actual-time intelligence records of scientists can Work with RPA professionals to pick out out out the belongings of the one-of-a-kind records in their agency commercial enterprise business enterprise and create automatic dashboards, which might be trying to find the maximum of those records in actual-time in a covered way. This intelligence is crucial for the managers of your commercial enterprise business enterprise to make more correct and quicker options.

3. Favors the advertising and income place

Favors the marketing and marketing and profits area favors the advertising and marketing and advertising and marketing and income region favors the marketing and marketing and advertising and marketing and marketing and marketing and advertising and marketing and income region favors the advertising and marketing and advertising and marketing and marketing and marketing and advertising and marketing and advertising and marketing and advertising and marketing and marketing and marketing and advertising and marketing and income area data-pushed Marketing is a well-known length nowadays. The reason is easy: handiest with records, we can provide answers, communications, and merchandise which can be possibly probable steady with patron expectations. As we've got were given had been given seen, records scientists can combine records from simply taken into consideration one in each of the type belongings, bringing even more correct insights to their team. This is possible with Data Science.

4. Improves facts security

Improves records security improves data protection improves facts protection improves records protection of the blessings of Data Science are the Work is executed withinside the area of records protection. In that sense, there may be an international of possibilities. The records scientists Work on fraud prevention structures, for instance, to hold your commercial enterprise business enterprise’s clients safer. On the possibility hand, he also can take a look at everyday kinds of conduct in a commercial enterprise business enterprise’s structures to pick out out out out possible architectural flaws.

5. Helps interpret complicated facts

Helps interpret complex records helps interpret complicated data allows interpret complex facts lets in interpret complicated records data Science is a terrific answer at the same time as we need to move one-of-a-kind records to apprehend the commercial enterprise business enterprise and the marketplace higher. Depending on the tool we use to accumulate records, we can combine records from “physical” and digital belongings for higher visualization.

6. Facilitates the decision-making process

Facilitates the decision-making manner allows the decision-making tool lets in the selection-making tool of the route, from what we've got were given had been given uncovered so far, you want to already take delivery of as authentic with that one of the blessings of Data Science is enhancing the selection-making tool. This is due to the truth we can create a tool to view records in actual time, permitting more agility for agency commercial enterprise business enterprise managers. This is executed each with the beneficial useful beneficial aid of the use of dashboards and with the beneficial useful beneficial aid of the use of the projections which might be possible with the records scientist’s remedy of records.

Salaries of a Data Scientist In Riyadh:

The Data Science task is one of the maximum paying jobs withinside the software program software software software program software area. It is likewise the first-class paying with the bottom quantity of applicable Work revel in at the same time as in assessment to 3 one in all a type disturbing situations withinside the software program software software software program software area, as set up withinside the parent. A facts scientist's common annual earnings are Rs. 698,412. An entry-degree facts scientist can earn around 500,000 in step with 12 months with much less than 12 months of experience. With 1 to four years of experience, facts scientists might also additionally count on to earn approximately 610,811 in step with 12 months.

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Key Features

ACTE Riyadh offers Data Science Certification 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.


Syllabus of Data Science Certification Course in Riyadh
Module 1: Introduction to Data Science Certification with R
  • What is Data Science Certification , significance of Data Science Certification in today’s digitally-driven world, applications of Data Science Certification , lifecycle of Data Science Certification , components of the Data Science Certification 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 Certification Projects

Project 1
Wallmart Sales Data Set

Retail is another industry that extensively uses analytics to optimize business processes.

Project 2
Flipkart Classification Dataset

This project is to forecast sales for each department and increasing labelled dataset using semi-supervised classification.

Our Top Hiring Partner for Placements

ACTE Riyadh 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 top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our students in top MNCs across the globe
  • We have separate student’s portals for placement, here you will get all the interview schedules and we notify you through Emails.
  • After completion of 70% Data Science Certification training course content, we will arrange the interview calls to students & prepare them to F2F interaction
  • Data Science Certification Trainers assist students in developing their resume matching the current industry needs
  • We have a dedicated Placement support team wing that assist students in securing placement according to their requirements
  • We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge

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.

Get Certified

About Experienced Data Science Certification Trainer

  • Our Data Science Certification Training in Riyadh. Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
  • As all Trainers are Data Science Certification domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
  • All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
  • Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
  • Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Data Science Certification training to the students.
  • We have received various prestigious awards for Data Science Certification Training in Riyadh from recognized IT organizations.

Data Science Certification Course Reviews

Our ACTE Riyadh 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.


Software Engineer

Data Science class was really helpful in building my career. They cleared my basic concepts and helped me practice for the interviews. They made sure that I understood all the basics and prepared me for the industry. I am thankful for ACTE the staff for their efforts and determination.


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 Certification 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
    • Gives
    • 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 Certification 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 Certification Course At ACTE?

  • Data Science Certification Course in ACTE is designed & conducted by Data Science Certification experts with 10+ years of experience in the Data Science Certification 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 Certification batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Data Science Certification . 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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