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Data Science Training in Bangalore

(5.0) 6987 Ratings 7089Learners

Live Instructor LED Online Training

Learn from Certified Experts

  • Beginner & Advanced level Classes.
  • Hands-On Learning in Data Science.
  • Best Practice for interview Preparation Techniques in Data Science.
  • Lifetime Access for Student’s Portal, Study Materials, Videos & Top MNC Interview Question.
  • Affordable Fees with Best curriculum Designed by Industrial Data Science Expert.
  • Delivered by 9+ years of Data Science Certified Expert | 12402+ Students Trained & 350+ Recruiting Clients.
  • Next Data Science Batch to Begin this week – Enroll Your Name Now!

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Price

INR 18000

INR 14000

Price

INR 22000

INR 18000

Have Queries? Ask our Experts

+91 93833 99991

Available 24x7 for your queries

Upcoming Batches

23-Nov-2020
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session

25-Nov-2020
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

(Class 1Hr - 1:30Hrs) / Per Session

28-Nov-2020
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

(Class 3hr - 3:30Hrs) / Per Session

28-Nov-2020
Sat,Sun

Weekend Fasttrack

(09:00 AM - 02:00 PM)

(Class 4:30Hr - 5:00Hrs) / Per Session

LEARNER CAREER OUTCOMES
62%
Started a new career after completing this course.
40%
Got a pay increase or promotion.

Can't find a batch? Pick your own schedule

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Learn From Experts, Practice On Projects & Get Placed in IT Company

  • Tie-up & MOU with over 1000+ Small & Medium Corporate Companies to Support you with Opportunities to Kick-Start & Step-up your Career.
  • We train students for interviews and provide Placements in corporate companies.
  • Ideal for graduates with 0 – 3 years of experts & degrees in B. Tech, B.E and B.Sc. IT Or Any Computer relevant courses.
  • You'll not only gain knowledge of Data Science and Advance tools however additionally gain exposure to Industry best practices, Aptitude & ability and Soft skills.
  • Professionally skilled Trainers and Lab Facility.
  • IBM Data Science Professional Certificate Guidance Support with Exam & communication Dumps.
  • For Corporate, we have tendency to act in recruiting partner.We provide right skilled candidates who are productive right from day one.
  • Get a chance to figure in Real-time Projects that may provide you a Deep Experience. Showcase your Project Expertise & Increase your probability of getting Hired!
  • Resume & Interviews Preparation Support.
  • 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!
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

This is How ACTE Students Prepare for Better Jobs

PLACED IMAGE ACTE

About Data Science Training Course in Bangalore

The demand for data scientists within the world wide has full-grown more than ten-fold within the past five years. The amount of data within the world is growing exponentially. From analyzing Tire performance to detective work problem gamblers, where data exists, there are opportunities to use it. Enroll In ACTE Data Science Course with Class Room & Online Training.

Most Job Oriented DataScience Modules Covered
  • R Programmming

    Python, SAS

    Artifical Intelligence

  • Deep Learning

    Machine Learning

    Statistics, Naive Bayes

  • Linear Algebra, CART

    Programming, Neural Networks

    Data Mining, Visualization

Many peoples need sensible job and sensible pay while, Learning data science can raise your chances of acquiring a good job and therefore the well maintained career choice.... The demand for a data scientist is growing day by day since there aren't several experts in this field. Learning data science can give you the prospect of finding a well decent job in this market whereever they're particularly required right now. Data Science a extremely lucrative career choice.

For many such years data scientist has been graded as one of the highest jobs in India and around the world, in terms of Salary, job demand, and satisfaction. Corporates are increasingly using the data scientist title for other similar roles such as data analyst. "I suppose to say that this is what we're seeing could be a bit of the standardization and the professionalization of data science," "The past ten years are touch a bit of the Wild West once it comes to data science. .

While, demand for data science skills is growing exponentially, in line with job sites. The availability of competent applicants, however, is growing at the next pace. It's a great time to be a data scientist coming into the job market. "More employers than ever square measure wanting looking to hire data scientists." It's a great time to be a data scientist entering the job market. That's in line with to recent data from job sites Indeed and Dice.

We are happy and proud to mention that we've strong relationship with over 700+ small, mid-sized and MNCs. Several of these companies firms have openings in data science. Moreover, we've a awfully active placement cell that has 100% placement help to our students. The cell additionally contributes by training students in mock interviews and discussions even once the course completion.

Data science is a sensible field, skilled data science are some of the most sought-after professionals within the world. Because the demand is so high and powerful, and the supply of people who can truly do that job well is so limited, data science could be a command huge salary and excellent perks, some peoples can able even at the entry level. Several companies also label data analysts as information scientists. This classification typically involves working with a company’s proprietary database information.

So coming back to the present there don't seems to be an great different. Data Science is the field that includes of everything that associated with data cleansing, data mining, data preparation, and data analysis. Big Data refers to the vast volume of data that is difficult to store and process in real-time. This data can used to analyze insights that will result in lead to better decision making. Data Science algorithms are used in industries like internet searches, search recommendations, advertisements.

Analysts and researchers are around long before big data, which is why data analyst roles are well defined. Data analysts do not need to have advanced coding skills, however have experience with analytics software packages, data visualization software, and data management programs.

Our courseware is designed to give a hands-on approach to the students in Data science. The course is created 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.

Do Data science giving world wide job opportunity?

Data science remains to be one of the best jobs in 2020. According to McKinsey, the US will be facing a shortfall of 250,000 data scientists by 2024. Though the jobs market is in constant change, a data scientist job still hits the top list. If you are interested in learning data science, that's awesome. With more and more things being driven by data we need more people to understand what's needed to produce successful and safe data science machine learning projects. Data science is totally worth doing.

Data Scientists have a great future. By Researching it shows 94 percent of data science graduates have got their jobs in the field since 2011. One of the indicators that data science future are well suited for the future is the dramatic increase in data science job. The demand for a data science is growing day by day since there are not many experts in this field. Learning data science will create your the chance of finding a good paid job and the bright future in this market where they are particularly required right now.

Top reasons to consider a career in Data science?

The potential for quantum computing and data science is huge in the future. Machine Learning can also process the information much faster with its accelerated learning and advanced capabilities. Based on this, the time required for solving complex problems significantly reduced. Companies require skilled Data Scientists to process and analyses their data. They not only analyse the data but also improve its quality. Therefore, Data Science deals with enriching data and making it better for their company


Ways a Data Scientist Can Add Value to Business

1. Empowering Management and Officers to Make Better Decisions

  • An experienced data scientist is likely to be a trusted advisor and strategic partner to the organization’s upper management by ensuring that the staff maximizes their analytics capabilities.
  • A data scientist communicates and demonstrates the value of the institution’s data to facilitate improved decision-making processes across the entire organization, through measuring, tracking, and recording performance metrics and other information.

2. Directing Actions Based on Trends—which in Turn Help to Define Goals

A data scientist examines and explores the organization’s data, after which they recommend and prescribe certain actions that will help improve the institution’s performance, better engage customers, and ultimately increase profitability.

3. Challenging the Staff to Adopt Best Practices and Focus on Issues That Matter

  • One of the responsibilities of a data scientist is to ensure that the staff is familiar and well-versed with the organization’s analytics product.
  • They prepare the staff for success with the demonstration of the effective use of the system to extract insights and drive action.
  • Once the staff understands the product capabilities, their focus can shift to addressing key business challenges.
Ways a Data Scientist Can Add Value to Business ACTE

4. Identifying Opportunities

  • During their interaction with the organization’s current analytics system, data scientists question the existing processes and assumptions for the purpose of developing additional methods and analytical algorithms.
  • Their job requires them to continuously and constantly improve the value that is derived from the organization’s data.

5. Decision Making with Quantifiable, Data-driven Evidence

  • With the arrival of data scientists, data gathering and analysing from various channels has ruled out the need to take high stake risks.
  • Data scientists create models using existing data that simulate a variety of potential actions—in this way, an organization can learn which path will bring the best business outcomes.

6. Testing These Decisions

Half of the battle involves making certain decisions and implementing those changes.

What about the other half?

  • It is crucial to know how those decisions have affected the organization.
  • This is where a data scientist comes in. It pays to have someone who can measure the key metrics that are related to important changes and quantify their success.

7. Identification and Refining of Target Audiences

  • From Google Analytics to customer surveys, most companies will have at least one source of customer data that is being collected. But if it isn’t used well—for instance, to identify demographics—the data isn’t useful.
  • The importance of data science is based on the ability to take existing data that is not necessarily useful on its own and combine it with other data points to generate insights an organization can use to learn more about its customers and audience.
  • A data scientist can help with the identification of the key groups with precision, via a thorough analysis of disparate sources of data. With this in-depth knowledge, organizations can tailor services and products to customer groups, and help profit margins flourish.

8. Recruiting the Right Talent for the Organization

  • Reading through resumes all day is a daily chore in a recruiter’s life, but that is changing due to big data.
  • With the amount of information available on talent—through social media, corporate databases, and job search websites—data science specialists can work their way through all these data points to find the candidates who best fit the organization’s needs.
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Key Features

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

  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

Authorized Partners

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

Curriculum

Syllabus of Data Science Course in Bangalore
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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Hands-on Real Time Data Science Projects

Project 1
Capstone Alteration

Providing hands-on industry training in Geographical land survey .

Project 2
Tableau Classification Dataset

Forecast sales for each department and increasing labelled dataset.

Our Top Hiring Partner for Placements

ACTE Bangalore 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 training course content, we will arrange the interview calls to students & prepare them to F2F interaction
  • Data Science 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 Authorized by all major world Companies around the world. We offer once completion of the theoretical and practical sessions to fresher's additionally as corporate trainees. Our certification at ACTE is authorized worldwide. It will increase the worth of your resume and you will be able to attain leading job posts with the assistance of this certification in leading MNC's of the globe. The certification is just provided once successful completion of our training and practical based projects.

These are Four Different Kinds of Certification levels that was Structured under the Data Science Certification Path.

  • Dell EMC Proven Professional Certification Program.
  • Microsoft Certified Solutions Expert (MCSE).
  • Cloudera Certified Associate (CCA).
  • Cloudera Certified Professional: CCP Data Engineer.
  • Familiar with Exam Blueprint
  • obtain Data Science Training course
  • Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
  • Join Data Science Certification Training in Bangalore that gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
  • Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.

Honestly Yes, Please refer to the link This Would Guide you with the Top 20 Interview Questions & Answers for Data science.

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About Experienced Data Science Trainer

  • Our Data Science Training in Bangalore. 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 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 training to the students.
  • We have received various prestigious awards for Data Science Training in Bangalore from recognized IT organizations.

Data Science Course Reviews

Our ACTE Bangalore 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 Bangalore 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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