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Data Science Course in Faridabad

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  • Get Equipped with 11+ years of Certified Data Science Experts.
  • Learn the Several Extensive Data Science Concepts.
  • Most Unique Curriculum Outlined by Professional Data Science Tutors.
  • Support the candidates to get their Dream Job in Data Analytics.
  • Deals with 650+ Recruiting Clients for Providing the Best Interview Preparation Techniques.
  • Get Access for students Portal, Study Materials, Videos Lectures.
  • It’s a chance to Polish your career in Data Science – Enroll Your Name Now!

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29-Apr-2024
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24-Apr-2024
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27-Apr-2024
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Learn the Consequences of Data Science Certification

  • This Data Science Course provides all the essential tools and knowledge necessary to become an accomplished Data Scientist.
  • Nearly 100% student satisfaction with over 300+ batches completed successfully.
  • Learn coding in Python and use it for statistical analysis, and get familiar with the mathematics of Machine Learning.
  • Get Trained from certified trainers from highly reputed multinational companies with over several years of experience in the industry.
  • Our trainers specialize in state-of-the-art Deep Learning frameworks like Google's TensorFlowDevelop, keeping you with the current trends of the job market.
  • We teach you how to apply these skills in real life through guided practice sessions.
  • Tie-up & MOU with over 1000+ Small & Medium Corporate Companies to Support you with Opportunities to Kick-Start & Step-up your Career.
  • Learning Concepts: Data Science, significance of Data Science in today’s digitally-driven world, components of the Data Science lifecycle, big data and Hadoop, Machine Learning and Deep Learning, R programming and R Studio, Data Exploration, Data Manipulation, Data Visualization, Logistic Regression, Decision Trees & Random Forest, Unsupervised learning, Association Rule Mining & Recommendation Engine, Time Series Analysis, Support Vector Machine - (SVM), Naïve Bayes, Text Mining, Case Study.
  • START YOUR CAREER WITH DATA SCIENCE COURSE THAT GETS YOU A JOB OF UPTO 5 LACS IN JUST 60 DAYS!
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Course Objectives

This Data Science Certification Training certification training is helpful for all aspiring data scientists including, IT professionals or software developers looking to form a career switch into Data analytics, professionals operating in data and business analysis, graduates wanting to make a career in Data Science, and experience.

R programmers can find jobs in various companies and firms in roles like Data Scientist. A Data scientist's job involves collecting data, transforming it into the required format, analyzing it, so drawing insights from it. They analyze customer performance and recognize revenue possibilities.

If you have got experience in any programing language, it takes 7 days to be told R programming spending a minimum of 3 hours each day. If you're a beginner, it takes 3 weeks to learn R programming. Within the 2 weeks, learn concepts like the way to create, append, subset datasets, lists.

Yes, we offer 1 practice test as a component of our Data Science Certification Training course to help you to organize for the real certification exam. You'll be able to examine these free R Programming practice requests to get the sort of tests that are a part of the program curriculum.

You will not learn anything about Python, Julia, or the other programing language useful for data science. This is not because we predict these tools are bad. They're not! And in practice, most data science teams use a mixture of languages, often a minimum of R and Python.

R language preparing is just planned in terms of professional career experts for:
  • Business analytics.
  • R programming and its packages.
  • Data structures and data visualization.
  • Apply functions and DPLYR function.
  • Graphics in R for data visualization.
  • Hypothesis testing.
  • Apriori algorithm.
  • SpaceX.
  • Google.
  • Starbucks.
  • Fitbit.
  • Kraft Heinz.
  • Hulu.

How R programming is used in Data Science?

As a programing language, R provides objects, operators, and functions that enable users to explore, model, and visualize data. R is used for data analysis. R in data science is applied to handle, store and analyze data. It is often used for data analysis and statistical modeling.

What are the Goals of our Data Science Certification Training Programming Course in Faridabad?

Instruments and Technologies utilized for this course are:
  • A thorough understanding of the Data Science Life Cycle and Machine Learning Algorithms is required.
  • Complete understanding of various data transformation tools and methodologies.
  • The capacity to try and do Text Mining and Sentiment Analysis on text data, further as develop knowledge of Data Visualization and Optimization methodologies.
  • The opportunity to figure on a spread of real-world corporate projects using RStudio.
  • Projects spanning media, healthcare, social media, aviation, and human resources.
  • Dedicated participation of an issue matter expert (SME) throughout the Data Science Training to know industry standards and best practices.

What are the advantages of getting a Data Science Course?

  • Stick to Essentials, Cut the Fluff.
  • Learning from Instructors with Work Experience, not Ph.D. scientists.
  • Working with the most innovative Technology Stack.
  • Individual Attention.
  • GitHub Project Portfolio Guidance.
  • Grammar Check.
  • Check Plagiarism.
  • Download Report.

What are the job roles available upon conclusion of Data Science?

  • Machine Learning Engineer.
  • Quantitative Analyst.
  • Data Warehouse Architect.
  • Business analyst
  • Statistician.
  • Business Analyst.
  • Operations Analyst.
  • Advantages of Freelancing.

How much does an R-certified Data Scientist make on Average?

Data Science experts may make a median of 3 lakhs each year, per Payscale. A professional data science specialist like an expert, on the opposite hand, may structure to 15 lakhs a year.

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Overview of Data Science Certification Training in Faridabad

This course allows you to master information analysis, company analysis, information modelization, machine learning strategies, k-means bunch, Naïve Bayes, etc. This information Science coaching in Hyderabad program can assist you to master R applied math computing, developing AN e-commerce recommendation engine, proposing films, and implementing market basket analysis in retail. Get prime information scientists to induce the most effective on-line information science courses. Provides the foremost thorough and in-depth coaching in information scientists. The courses are unit ready with comprehensive feedback from specialists within the business. You'll be able to manage several elements together with information analysis, mining, purification, information transformation, algorithms for machine learning, and far more so as to realize important info concerning the business.

 

Additional Info

About Data Science Course in ACTE Faridabad

Data science is probably the most sultry calling of the decade, and the interest for information researchers who can dissect information and convey results to advise information-driven choices has never been more noteworthy. This Professional Certificate from ACTE will help anybody keen on seeking a vocation in information science or AI foster vocation important abilities and experience.

A legend to turn into an information researcher you need a Ph.D. Anybody with an enthusiasm for learning can take this Professional Certificate – no earlier information on software engineering or programming dialects required – and foster the abilities, apparatuses, and portfolio to have a strategic advantage in the work market as a section-level information researcher.

The program comprises 9 courses that will give you the most recent occupation prepared devices and abilities, including open-source instruments and libraries, Python, data sets, SQL, information representation, information investigation, measurable examination, prescient displaying, and AI calculations. You'll learn information science through active practice in the ACTE Cloud utilizing genuine information science apparatuses and true informational indexes.

Upon effectively finishing these courses, you will have assembled an arrangement of information science activities to furnish you with the certainty to dive into an intriguing calling in information science.

As well as procuring a Professional Certificate from Coursera, you'll likewise get an advanced identification from ACTE perceiving your capability in information science.


Roles and responsibilities :

Data Engineer:

Information engineers are a unit in charge of bobbing up with, building, and maintaining information pipelines. They need to visualize ecosystems for the businesses and prepare them for information scientists to run their algorithms. information engineers in addition work on the process of collecting information and match its format to the keep information. In short, they produce a positive that the information is ready to be processed and analyzed. Finally, they need to remain the theme and thus the pipeline optimized and economical and confirm that The information is accessible for information scientists and analysts to use.

Database Administrator:

Typically the team bobbing up with the information and thus the one exploitation is different. Currently, many companies can vogue Associate in a Nursing information system that supports specific business wants. However, the info's management is completed by the company buying the info or requesting the design. In such cases, each company hires a private or many ones to be responsible for managing the information system. Associate in Nursing information administrator is responsible for observing the information, making certain it functions properly, keeping track of the information follower, and building backups and recoveries. they're intercalary responsible for granting {different| different|completely different} permissions to different staff supported their job wants and employment level.

Machine Learning Engineer:

Machine learning engineers are on-demand currently. They need to bear in mind the various machine learning algorithms sort of a bunch, categorization, and classification and are up-to-date with the latest analysis advances among the sector. To perform their job properly, machine learning engineers have to be compelled to have durable statistics and programming skills in addition to some information on the fundamentals of software package engineering. Additionally, to bobbing up with and building machine learning systems, machine learning engineers have to be compelled to run tests like A/B tests and monitor the varied systems' performance and usefulness.

Data Science:

  • Let’s begin with the foremost general role, info human. Being an Associate in Nursing info human entails, you may injure all aspects of the project. starting from the business facet to info grouping and analyzing, and eventually visualizing and presenting. an information human is alert to barely {of each|of each} thing; every step of the project, due to that, they'll give higher insights on the only solutions for a particular project and uncover patterns and trends.

  • Moreover, they're going to be responsible for researching and developing new algorithms and approaches. Often, in vast companies, team leaders blame people with specialized abilities in the unit of measurement info scientists; their talent set permits them to overlook a project and guide them from commencing to finish.

  • Technology Specialized:

    Information science remains a developing field; as a result of it grows, extra specific technologies will emerge, like AI or specific cc algorithms. Once the world develops in this manner, new specialized job roles are reaching to be created, for instance, AI specialists, Deep Learning specialists, science specialists, etc. These job roles apply to information scientists and analysis additionally. as an Associate in Nursing example, transportation DS specialist, merchandising storyteller, and so on. Such job roles are reaching to be specific on the responsibilities it entails and may loosen the ultimate mortal and engineer's work.

    Business Intelligence Developer:

    Business Intelligence developers in addition stated as metallic element developers are guilty of coming up with and developing ways in which allow business users to hunt out the info they need to form choices quickly and efficiently other than that, they additionally ought to be cozy pattern new metallic element tools or coming up with custom ones that supply analytics and business insights to grasp their systems higher. A metallic element developer’s work is sometimes business-oriented; that’s why they need to possess a minimum of a basic understanding of the fundamentals of business models and also the means they are enforced.


    Required Skills for information Science :

      1. Applied Mathematics Analysis:

      Determine patterns in info. This involves a powerful sense of pattern recognition and detection of anomalies.

      2.Machine Learning:

      Implement algorithms and math models to vary a laptop computer to automatically learn from the information.

      3. Laptop Science:

      ought to Apply the principles of computing, info systems, human/computer interaction, numerical analysis, and package engineering.

      4. Programming:

      Write computer programs and analyze large datasets to uncover answers to difficult problems. info scientists need to be compelled to be cozy writing code in operation throughout a sort of languages like Java, R, Python, and SQL.

      Skills you'll Gain during this Course :

      • Gain a radical information {of information|of knowledge|of information} structure and information management Comprehension and application of linear or nonlinear regression models and data analysis classification procedures.

      • Know the varied parts of the Hadoop system.

      • Deep grasp of supervised and unmonitored learning models like statistical regression, logistic regression, clustering, reduction in spatial property, K-NN, and pipeline.

      • Computing Science and technology exploitation SciPy packages, together with integrate, optimize, statistics, IO, and weave.

      • Get information with NumPy and Scikit-Learn programs for the mathematical laptop.

      • Five options of a Business Understanding Scientist:

          1. Business Understanding:-

        • The info soul worth to the corporate isn't that applied math modeling could also be accustomed to develop a guide. a knowledge soul should grasp the strain of the corporate and analyze them to realize those goals.

        • 2. Passion:-

        • Information science is each associate degree art and a science. the info soul ought to have an outline of however an honest resolution appearance. There are verdant media solutions. It needs patience and determination to search out the proper resolution to the proper issue.

        • 3.Curiosity:-

        • Information science isn't a replacement field, however, discoveries are created once a year. as a result of information scientists endlessly obtain different solutions to problems. This involves searching for novel and optimum techniques of gathering and merging information, preprocessing and engineering options, or developing models and increasing their running times by combining software systems and hardware.

        • 4. Innovation:-

        • A number of the worth in information science comes from solutions, not before thought-about and enforced. The first-mover advantage within the digital sector is true and might create a firm or break it off. Several new business models depend upon however well information and analysis are accustomed to generate a replacement and distinctive model, so information scientists cannot repeat what has antecedently functioned. you need to perpetually look for a succeeding major part, that differentiates your provide from alternative products presently on the market.

        5. Intuition:-

      • Through the maths concerned in analytics is foundational and well-tried, mistreatment to resolve specific business issues is associate degree form, as mentioned higher than. the info soul should be ready to differentiate nicely from not-so-great analytics.

      Top Tools of information Science :

      Some of the key tools of information science :

        SAS:

      • It's one among those information scientific instruments designed strictly for math functions. SAS may be a proprietary closed-source computer code package for analyzing information by vast companies.

      • For math modeling, SAS utilizes basic SAS language programming. It's usually utilized in business computer code packages by specialists and businesses. As an information human, SAS provides uncounted math libraries and instruments to model and organize information. Though SAS is very trustable and has sturdy support, it's high in price and used exclusively by larger industries. Moreover, several SAS libraries and packages do not appear to be among the bottom packages and should be upgraded pricey.

      • Apache Spark (political):

      • Apache Spark (political) Spark is a powerful analytics engine and, as a result, the most widely used data science tool. Spark is designed to work with batch and stream processes. Many Web services allow information scientists to access machine learning data, SQL storage, and other resources on a routine basis. It outperforms Hadoop and outperforms Map-Reduce by a factor of 100. Spark offers a number of Machine Learning Web services that help information scientists anticipate data.

      • Spark can manage streaming information on top of totally different vast information platforms. Spark can technique information within the amount compared to totally different analytical tools that exclusively technique historical information in batches. In Python, Java, and R, Spark provides several genus Apis. However, Spark’s most sturdy combination with Scala can be a virtual Java-based artificial language, that's cross-platform in nature.

      Excel:

      The info Analysis instrument is possibly most generally used. surpass is created in the main to calculate sheets by Microsoft and is presently usually used for process, refined, and image calculations. surpass is Associate in Nursing economic information science analytical instrument. surpass still packs a punch whereas it’s the quality information analysis instrument. surpass has several formulas, tables, filters, slicers, and so on. you may jointly generate your personalized choices and formulae with surpassing. whereas surpass continues to be an ideal risk for powerful information pictures and tablets, it is not meant to calculate Brobdingnagian quantities of information. you furthermore might connect SQL to surpass and use it for information management and analysis.

      D3js:

      Javascript is sometimes used as a scripting language on the shopper-facet. D3.js, you will be ready to manufacture interactive visualizations on our application through the Javascript library. With various D3.js APIs, you will be ready to build dynamic viewing and data analysis in your browser exploitation various choices. The employment of animated transitions is another sturdy characteristic of D3.js. D3.js dynamically permits customer-side updates and actively reflects the visual image on the browser through information modification. This might be combined with CSS to provide illustrated and temporary visualizations to assist you to execute tailored graphics on the website.

      The Future of Information Science :

      Having been careful of the construct of information science, it's pertinent to ponder factors that demonstrate the great potentiality evident among the means forward for information processing. These factors justify the reasons why fashionable businesses and organizations will and have begun to look to the positive future information processing holds for them.

      Companies Inability to Handle information :

      Every minute, fully different businesses and organizations constantly gather information for his or her varied transactions. However, the matter is that just about all of these organizations share a typical challenge; that's analyzing and categorizing the information that has been gathered and unbroken. Thus, in such dire situations, the only real resolution for the companies is within the service of a knowledgeable man of science. With properly dead information science, these organizations will increase productivity through adequate and practiced handling of information. Indeed, within the long-standing time knowledge of information science will bring a solution to companies’ inability to effectively handle information.

      Virtual Reality is Friendly :

      Without a doubt, in every place on the earth, there is an Associate in Nursing associated with the contributions of computing and many companies area unit hoping for it. With the introduction of progressive and advanced concepts like Neutral Networking and Deep Learning, large info prospects are certain to flourish with these current innovations. In nearly every ramification of life, machine learning is presently being introduced and used. In addition, VR – laptop games and AR – accumulated Reality, an area unit passing through nice biological processes.

      Revised information Privacy laws :

      • The reality is that heaps of and heaps of oldsters area units exercise increasing caution and application once it involves sharing their information with businesses. Associate in the Nursing outsize share of individuals area unit skeptical regarding dropping a definite degree of management to companies. This may be simply a result of the increase in the notice of knowledge stealing and its negative effects. Thus, honorable companies are unit sensitive and bear in mind to keep their client's information safe and intact.

      • To buttress this, the GDPR – public knowledge Protection Regulation, was irreligious by the state of the EU Union in May. it's jointly been reportable that such regulation for information protection shall all over again lapse in California in 2020. Hence, with the recent Revised information Privacy rules taking place, the longer-term of knowledge science is improbably bright.

      Benefits of information Science :

      • The Data Science career is in high demand and there is an Associate in Nursing abundance of opportunities among the sector. It's the same that Asian country that is the second largest in recruiting people with information on Science skills, once the USA.

      • The compensation is tight as a result of it should be a career in demand. The national average wage of Associate in Nursing info human in Asian countries is around 9 Lakhs once a year.

      • The applications of information Science are versatile as a result of its being used by E-Commerce companies, Medical, and company industries, Web-based businesses, financial and Banking sector, Consulting companies, to administer some examples.

      • So, a private can build a career in their house of interest or a sector where he/she has previous experience. Information Science is also a secure career. The requirement for information Scientists exists as long as information exists.

      Payscale of information Science:

      The additional responsibilities Associate in Nursing expectations of in operation abstractly in Associate in Nursing extremely vast scale amount to pay over double that of an info analyst. In step with the remuneration Report, the info science's median remuneration is Rs. 94 Lakhs, information mortal incorporates a comprehensive job.

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Data Science Course Key Features

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

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

Authorized Partners

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

Curriculum

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

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

Project 1
Fake News Detection

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

Project 2
Forest Fire Prediction

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

Project 3
Road Lane Line Detection

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

Project 4
Driver Drowsiness Detection

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

Our Recruiting Partner for Placements

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

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

Get Certified in Data Science with Industry Recognized ACTE Certificate

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

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

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

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

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

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

Complete Your Course

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

Get Certified

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

Get Certified

About Qualified Data Science Instructor

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

Data Science Course Reviews

Our ACTE Faridabad 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.

Suresh Kumar

Software Engineer

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

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 great Discount Price?

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

Why Should I Learn Data Science Course At ACTE?

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