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Data Science Training in Pune

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  Certification | Placement Program

Live Instructor LED Online Training

Learn from Certified Experts

  • Get Best Training on Novice to Advanced level Classes.
  • Practical Classes for both beginners and experience
  • Precedent level Training sessions on Data science Tools.
  • Lifetime Access for Student’s Portal, Study Materials, Videos & Top MNC Interview Question.
  • Best Approaches on Trending Data Science Concepts with Nominal Cost.
  • 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

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+91 93833 99991

Available 24x7 for your queries

Upcoming Batches

14- JUN- 2021
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

16- JUN- 2021
Mon-Fri

Weekdays Regular

08:00 AM & 10:00 AM Batches

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

19- JUN- 2021
Sat,Sun

Weekend Regular

(10:00 AM - 01:30 PM)

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

19- JUN- 2021
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 at Home with ACTE

Online Courses by Certified Experts

Get Trained Data Science Certification Course from Real-Time Experts

  • ACTE Course provides Placement Assistance and Professional Referrals for Fresher Candidates.
  • ACTE training designed a comprehensive course that satisfies all of the specifications of the Job.
  • ACTE assists on Real-Time project summaries.
  • Sophisticated Lab Facility and Trained Tutors
  • IBM Data Science 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.
  • By organizing Mock interviews, ACTE aids applicants in preparing for their interviews.
  • 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!
  • Classroom Batch Training
  • One To One Training
  • Online Training
  • Customized Training
  • Enroll Now

This is How ACTE Students Prepare for Better Jobs

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Course Objectives

  • Because big companies don't often appreciate freshers for these jobs, experience with real-time data science initiatives will be a plus.
  • Our Data Science course focuses on covering the essential curricula as well as real-world business challenges.
  • Our real projects will help you gain a thorough understanding of the subject and prepare you for interviews with leading organizations for Data science positions.
  • Our instructors can share their knowledge and assist you in resolving period problems.
  • To begin a career in Data Science, you must complete either online or classroom training.
You'll require knowledge of a variety of programming languages, including Python, Perl, C/C++, SQL, and Java, with Python being the most commonly used dedication to writing language in Data science employment. These programming languages make it easier for data scientists to manage large amounts of unstructured data.
  • The curriculum is usually designed by the most recent industry standards. Our instructors provide real-time instruction with live projects to help you gain a better knowledge of the subject.
  • We provide training in a variety of formats, including online, in a classroom, and weekend batches.
  • Our training plan is extremely adaptable to your on-the-market requirements.
  • Because our experts can guide you through the process by sharing their real-time experiences in relevant sectors, our Data science course can help you crack related interviews at top MNCs.
  • Expertise, Data Science knowledge, and appropriate tools and technology are all required for the Data Science position.
  • IT Professionals
  • Banking and Finance Professionals
  • Marketing Managers
  • Analytics Managers
With the advent of technology, Data Science has a wide range of applications in India. Data science has risen to the top of the most popular professional paths. Having an engineering or elated stream as a bachelor's degree. Should be able to operate Python, Pig, Hadoop, SQL, and other programming languages and software systems.
The course has been developed to help applicants get a head start in the areas of information science and machine learning. Students who completed the course have gone on to work as Data Scientists, Machine Learning Engineers, Data Analysts, Analytics Experts, and other positions at prominent analytics firms.
  • Learn the fundamentals of many applied mathematics concepts.
  • Understand and apply hypothesis testing methodologies to help you make better business decisions.
  • Understand and use information analysis techniques such as linear and non-linear regression models, as well as classification approaches.
  • This necessitates a grasp of how money and information move in a business, as well as the ability to apply that knowledge to identify business prospects.

How much time does it take to become a data scientist?

Your professional ambitions, as well as the amount of money and time you are prepared to invest in your education, will decide how long it takes you to become a data scientist. There are four-year bachelor's degrees and three-month boot camps available in data science. If you already have a bachelor's degree or have finished a Bootcamp, you might wish to pursue a master's degree, which may be done in as short as a year. The majority of data scientists, according to the Burtch Works research, hold a doctorate.

Is it worthwhile to pursue a career in data science?

Data science is one of the top professional alternatives in the twenty-first century for a variety of reasons. For many people, the need and breadth of this technology are the key motivators for pursuing a career in this field. Furthermore, the pay scale given in this field is piquing young people's interest in working as Data Scientists. The employment options offered in this area are often regarded as some of the best-paying in the country. Many present employment roles are projected to be replaced as data science continues to spread its effect across many disciplines. As a result, data science is the greatest option for anyone seeking a long-term job.

What are the preconditions to learning Data Science Certification Courses?

  • Python is a computer language that may be used to create programs. Python is the most popular coding language I encounter in data science professions, along with Java, Perl, and C/C++.
  • Hadoop distribution platform.
  • Database and coding in SQL.
  • Apache Spark is abbreviated as Spark.
  • AI and machine learning are two terms that are used interchangeably.
  • Data visualization.
  • Unstructured data is data that hasn't been organized.

what are the various job role available in the data science field?

This field has a lot of interesting work prospects. Many young individuals desire to work in these fields in the future. Let's take a look at some of the most important Data Science job openings.
  • Data Analyst.
  • Statistician Business.
  • Analyst Database.
  • Administrator.
  • Data Engineer.
  • Data Scientist.

What is the pay scale in the field of data science?

One of the highest-paying employment titles in the country is said to be in the Data Science sector. In India, a data scientist's yearly income is projected to be Rs. 8.2 lakh. The compensation ranges from 6 to 20 lakh rupees per year. In India, there are roughly 40, 000+ job openings in the sector of Data Science for various professional roles. Great Learning offers India's top data science course, which includes job placement.
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Regarding Data Science Training Course in Pune

Data Science are hot topics and many organisations are looking for people with the skills and know-how to understanding vast and disparate data sources and transform them into actionable insight. We have a range of Data Science training courses as well as courses designed to help you make the most of key data science tools and platforms. Many data scientists are also required to have programming knowledge, our range of programming training includes SQL, Ruby and Python courses – and these can help you gain the necessary background knowledge. Enroll In ACTE Data Science Course with Class Room & Online Training

Inquires About Data Science Course

Most of the peoples need good job and good salary while, Learning data science will raise your probabilities of acquiring a good job and the well maintained career option.... The demand for a data scientist is growing day by day since there are not many experts in this field. Learning data science will provide you the chance of finding a well decent job in this market where they are particularly required right now. Data Science a highly lucrative career option.
Meanwhile, For several years data scientist has been ranked as one of the top jobs in india and around the world, in terms of pay, job demand, and satisfaction. Companies are increasingly using the data scientist title for other similar roles such as data analyst. "I think that what we're seeing is a little bit of the standardization and the professionalization of data science," "The past ten years have been a bit of the Wild West when it comes to data science.
While, demand for data science skills is growing exponentially, according to job sites. The supply of skilled applicants, however, is growing at a higher pace. It's a great time to be a data scientist entering the job market. ... "More employers than ever are looking to hire data scientists." it's a great time to be a data scientist entering the job market. That's according to recent data from job sites Indeed and Dice.
We are happy and proud to say that we have strong relationship with over 700+ small, mid-sized and MNCs. Many of these companies have openings in data science. Moreover, we have a very active placement cell that provides 100% placement assistance to our students. The cell also contributes by training students in mock interviews and discussions even after the course completion.
Data science is a good field, skilled data science are some of the most sought-after professionals in the world. Because the demand is so high and strong, and the supply of people who can truly do this job well is so limited, data science is a command huge salary and excellent perks, some peoples can able even at the entry level. Many companies also label data analysts as information scientists. This classification typically involves working with a company’s proprietary database.
So coming to this there are not a great different. Data Science is the field that comprises of everything that related to 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 analyse insights that can lead to better decision making. Data Science algorithms are used in industries such as internet searches, search recommendations, advertisements.
Analysts and researchers have been around long before big data, which is why data analyst roles are well defined. Data analysts do not need to have advanced coding skills, but have experience with analytics software, 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 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.
Data science Is giving world wide job opporutunites Data science remains to be one of the best jobs. According to McKinsey, the US will be facing a shortfall of 250,000 data scientists. 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. Research shows 94 percent of data science graduates have gotten jobs in the field since 2011. One of the indicators that data science careers 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 provide you the chance of finding a decent 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
 

Outline of Data Science

Data science is a discipline that combines domain knowledge, programming abilities, and math and statistics knowledge to extract useful insights from data. Machine learning algorithms are used to number, text, photos, video, audio, and other data to create artificial intelligence (AI) systems that can execute jobs that would normally need human intelligence. Consequently, these systems produce insights that analysts and business users may employ to create meaningful commercial value. Importance of Data Science Data science, AI, and machine learning are becoming increasingly important to businesses. Organizations that want to stay competitive in the age of big data, regardless of industry or size, must build and execute data science abilities quickly or risk being left behind. Even for firms with near-infinite resources, surmounting up data science efforts is tough.AI by conceding analysts, business users, and other professional experts to become Citizen Data Scientists and AI Engineers, as well as increasing the potency of data scientists. Data science is a "concept that unifies statistics, data analysis, informatics, and related approaches" to use data to "understand and analyze actual occurrences." Within the framework of mathematics, statistics, computer science, information science, and domain knowledge, it employs techniques and theories from a variety of domains. Advantages of Data Science It is in High Demand The range of data science is in high command. Job seekers have an excess of options obtainable to them. It is the fastest-growing job, with 11.5 million positions demanded to be designed. As a result, Data Science is an extremely employable area. Fair Number of Positions Only particular people possess all of the demanded abilities to become a full-fledged Data Scientist. As a result, Data Science is a hugely assorted area with numerous prospects. The method of data science is in tremendous interest however, there are few Data Scientists available. High payscale One of the best highest-earning career is data science. The ordinary pay for a data scientist is $116,100 per year. Data Science is Gifted Data Science has a wide assortment of applications. In healthcare, business, consulting, and e-commerce enterprises, it is widely manipulated. Data science is a field with a wide range of applications. Future Scopes of Data Science Health Care Sector Because they generate so much data daily, data scientists are in high demand in the healthcare industry. Any unprofessional applicant will be unable to handle such a large amount of data. Hospitals must maintain track of patients' medical histories, bills, staff personal histories, and a variety of other details. In the medical field, data scientists are being hired to improve the quality of care. Transport Sector A data scientist is needed in the transportation industry to examine data generated by passenger counting systems, asset management, positioning systems, fare collection, and ticketing. E-commerce: The e-commerce business is booming only because of data scientists who analyze data and generate personalized recommendation lists for end-users to provide excellent outcomes. Conclusion The field of data science has seen a significant increase. As more companies turn to machine learning, big data, and AI, the demand for data scientists is growing. By monitoring items around one's house or workplace, improving the quality of online shopping, enabling safe online financial transactions, and many other things, data science has made everyday life easier. Data Science's application does not stop there; it has made a significant contribution to medical science. Medical image analysis, genomics, remote monitoring, and drug development have all benefited from the analytics and requisition.
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Key Features

ACTE Pune offers Data Science Training in more than 27+ branches with expert trainers. Here are the key features,
  • Get Qualified from Professional Expert
  • 100% Job placements
  • Industry Expert Faculties
  • Learn Data science from scratch
  • 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.
 

Course Content

Synopsis of Data Science Course in Pune
Module 1: Introduction to Data Science with R
  • What is Data Science, significance of Data Science in today’s digitally-driven world, applications of Data Science, lifecycle of Data Science, components of the Data Science lifecycle, introduction to big data and Hadoop, introduction to Machine Learning and Deep Learning, introduction to R programming and R Studio.
  • Hands-on Exercise - Installation of R Studio, implementing simple mathematical operations and logic using R operators, loops, if statements and switch cases.
Module 2: Data Exploration
  • Introduction to data exploration, importing and exporting data to/from external sources, what is data exploratory analysis, data importing, dataframes, working with dataframes, accessing individual elements, vectors and factors, operators, in-built functions, conditional, looping statements and user-defined functions, matrix, list and array.
  • Hands-on Exercise -Accessing individual elements of customer churn data, modifying and extracting the results from the dataset using user-defined functions in R.
Module 3: Data Manipulation
  • Need for Data Manipulation, Introduction to dplyr package, Selecting one or more columns with select() function, Filtering out records on the basis of a condition with filter() function, Adding new columns with the mutate() function, Sampling & Counting with sample_n(), sample_frac() & count() functions, Getting summarized results with the summarise() function, Combining different functions with the pipe operator, Implementing sql like operations with sqldf.
  • Hands-on Exercise -Implementing dplyr to perform various operations for abstracting over how data is manipulated and stored.
Module 4: Data Visualization
  • Introduction to visualization, Different types of graphs, Introduction to grammar of graphics & ggplot2 package, Understanding categorical distribution with geom_bar() function, understanding numerical distribution with geom_hist() function, building frequency polygons with geom_freqpoly(), making a scatter-plot with geom_pont() function, multivariate analysis with geom_boxplot, univariate Analysis with Bar-plot, histogram and Density Plot, multivariate distribution, Bar-plots for categorical variables using geom_bar(), adding themes with the theme() layer, visualization with plotly package & building web applications with shinyR, frequency-plots with geom_freqpoly(), multivariate distribution with scatter-plots and smooth lines, continuous vs categorical with box-plots, subgrouping the plots, working with co-ordinates and themes to make the graphs more presentable, Intro to plotly & various plots, visualization with ggvis package, geographic visualization with ggmap(), building web applications with shinyR.
  • Hands-on Exercise -Creating data visualization to understand the customer churn ratio using charts using ggplot2, Plotly for importing and analyzing data into grids. You will visualize tenure, monthly charges, total charges and other individual columns by using the scatter plot.
Module 5: Introduction to Statistics
  • Why do we need Statistics?, Categories of Statistics, Statistical Terminologies,Types of Data, Measures of Central Tendency, Measures of Spread, Correlation & Covariance,Standardization & Normalization,Probability & Types of Probability, Hypothesis Testing, Chi-Square testing, ANOVA, normal distribution, binary distribution.
  • Hands-on Exercise -– Building a statistical analysis model that uses quantifications, representations, experimental data for gathering, reviewing, analyzing and drawing conclusions from data.
Module 6: Machine Learning
  • Introduction to Machine Learning, introduction to Linear Regression, predictive modeling with Linear Regression, simple Linear and multiple Linear Regression, concepts and formulas, assumptions and residual diagnostics in Linear Regression, building simple linear model, predicting results and finding p-value, introduction to logistic regression, comparing linear regression and logistics regression, bivariate & multi-variate logistic regression, confusion matrix & accuracy of model, threshold evaluation with ROCR, Linear Regression concepts and detailed formulas, various assumptions of Linear Regression,residuals, qqnorm(), qqline(), understanding the fit of the model, building simple linear model, predicting results and finding p-value, understanding the summary results with Null Hypothesis, p-value & F-statistic, building linear models with multiple independent variables.
  • Hands-on Exercise -Modeling the relationship within the data using linear predictor functions. Implementing Linear & Logistics Regression in R by building model with ‘tenure’ as dependent variable and multiple independent variables.
Module 7: Logistic Regression
  • Introduction to Logistic Regression, Logistic Regression Concepts, Linear vs Logistic regression, math behind Logistic Regression, detailed formulas, logit function and odds, Bi-variate logistic Regression, Poisson Regression, building simple “binomial” model and predicting result, confusion matrix and Accuracy, true positive rate, false positive rate, and confusion matrix for evaluating built model, threshold evaluation with ROCR, finding the right threshold by building the ROC plot, cross validation & multivariate logistic regression, building logistic models with multiple independent variables, real-life applications of Logistic Regression
  • Hands-on Exercise -Implementing predictive analytics by describing the data and explaining the relationship between one dependent binary variable and one or more binary variables. You will use glm() to build a model and use ‘Churn’ as the dependent variable.
Module 8: Decision Trees & Random Forest
  • What is classification and different classification techniques, introduction to Decision Tree, algorithm for decision tree induction, building a decision tree in R, creating a perfect Decision Tree, Confusion Matrix, Regression trees vs Classification trees, introduction to ensemble of trees and bagging, Random Forest concept, implementing Random Forest in R, what is Naive Bayes, Computing Probabilities, Impurity Function – Entropy, understand the concept of information gain for right split of node, Impurity Function – Information gain, understand the concept of Gini index for right split of node, Impurity Function – Gini index, understand the concept of Entropy for right split of node, overfitting & pruning, pre-pruning, post-pruning, cost-complexity pruning, pruning decision tree and predicting values, find the right no of trees and evaluate performance metrics.
  • Hands-on Exercise -Implementing Random Forest for both regression and classification problems. You will build a tree, prune it by using ‘churn’ as the dependent variable and build a Random Forest with the right number of trees, using ROCR for performance metrics.
Module 9: Unsupervised learning
  • What is Clustering & it’s Use Cases, what is K-means Clustering, what is Canopy Clustering, what is Hierarchical Clustering, introduction to Unsupervised Learning, feature extraction & clustering algorithms, k-means clustering algorithm, Theoretical aspects of k-means, and k-means process flow, K-means in R, implementing K-means on the data-set and finding the right no. of clusters using Scree-plot, hierarchical clustering & Dendogram, understand Hierarchical clustering, implement it in R and have a look at Dendograms, Principal Component Analysis, explanation of Principal Component Analysis in detail, PCA in R, implementing PCA in R.
  • Hands-on Exercise -Deploying unsupervised learning with R to achieve clustering and dimensionality reduction, K-means clustering for visualizing and interpreting results for the customer churn data.
Module 10: Association Rule Mining & Recommendation Engine
  • Introduction to association rule Mining & Market Basket Analysis, measures of Association Rule Mining: Support, Confidence, Lift, Apriori algorithm & implementing it in R, Introduction to Recommendation Engine, user-based collaborative filtering & Item-Based Collaborative Filtering, implementing Recommendation Engine in R, user-Based and item-Based, Recommendation Use-cases.
  • Hands-on Exercise -Deploying association analysis as a rule-based machine learning method, identifying strong rules discovered in databases with measures based on interesting discoveries.
Module 11: Introduction to Artificial Intelligence (self paced)
  • introducing Artificial Intelligence and Deep Learning, what is an Artificial Neural Network, TensorFlow – computational framework for building AI models, fundamentals of building ANN using TensorFlow, working with TensorFlow in R.
Module 12: Time Series Analysis (self paced)
  • What is Time Series, techniques and applications, components of Time Series, moving average, smoothing techniques, exponential smoothing, univariate time series models, multivariate time series analysis, Arima model, Time Series in R, sentiment analysis in R (Twitter sentiment analysis), text analysis.
  • Hands-on Exercise -Analyzing time series data, sequence of measurements that follow a non-random order to identify the nature of phenomenon and to forecast the future values in the series.
Module 13: Support Vector Machine - (SVM) (self paced)
  • Introduction to Support Vector Machine (SVM), Data classification using SVM, SVM Algorithms using Separable and Inseparable cases, Linear SVM for identifying margin hyperplane.
Module 14: Naïve Bayes (self paced)
  • what is Bayes theorem, What is Naïve Bayes Classifier, Classification Workflow, How Naive Bayes classifier works, Classifier building in Scikit-learn, building a probabilistic classification model using Naïve Bayes, Zero Probability Problem.
Module 15: Text Mining (self paced)
  • Introduction to concepts of Text Mining, Text Mining use cases, understanding and manipulating text with ‘tm’ & ‘stringR’, Text Mining Algorithms, Quantification of Text, Term Frequency-Inverse Document Frequency (TF-IDF), After TF-IDF.
Module 16: Case Study
  • This case study is associated with the modeling technique of Market Basket Analysis where you will learn about loading of data, various techniques for plotting the items and running the algorithms. It includes finding out what are the items that go hand in hand and hence can be clubbed together. This is used for various real world scenarios like a supermarket shopping cart and so on.
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Need customized curriculum?

Get Hands-on Knowledge with Industrial Live Data Science Projects

Project 1
Recognition of Speech and Emotion

In this project, we are using Librosa to perform Speech and Emotion Recognition to identify the emotion and speech from a combination of tone and pitch of human voice.

Project 2
Driver Drowsiness Detection System

This project will help to recognize whenever the driver may get drowsy & fall asleep while driving by creating a model to detect the sleepy driver and raises an alert alarm to indicate.

Project 3
Customer Segmentations Project

The project uses the K-means clustering algorithm to perform the visualizations and distribute like gender specification to find the customers annual value and scores.

Project 4
Gender and Age Detection

It is an ML Project based on computer visioning, and through this Data Science project, you get familiar with a practical application of convolutional neural networks (CNN).

Our Best Placement Partners

ACTE Pune offers placement opportunities is meant to provide applicants with hands-on Data Science training in the classroom or online to assist them gain industry exposure in understanding Data Science platforms, techniques, and applications in order to construct and execute effective Coding campaigns
  • For our candidates, a program is created that includes mock placements and mock interviews. 
  • Customized training is provided to our candidates in order to clear their doubts related to any topic taught tot them. 
  • Our candidates go through a thorough placement process to ensure that they acquire the positions they want. 
  • Our candidates will be placed in companies such as TCS, Infosys, Microsoft, and many others. 
  • After completing their training and mocks, the candidates are awarded a Data Science certificate.
  • Students are also provided a notification reminder so that they do not miss their mocks.

Get Accredited in Data Science with Industry Recognized ACTE Certificate

ACTE Data Science Training Certificate 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 Certification in Data Science Training 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

Our Skillful Data Science Trainers

  • Our Data Science trainers have experience of more than 8 years in their respective industries. 
  • Our trainers deliver and help our candidates for making and creating real-time project summaries. 
  • Mock placement procedures are organized by our trainers for our prospects so our candidates have an idea how actual interviews are taken. 
  • Our Data Science instructors are highly qualified and create a comprehensive course to ensure our candidates' success. 
  • Because our instructors teach our applicants from the ground up, the principles are crystal apparent.
  • Our trainers also assist our candidates in developing a good résumé in order for them to land their desired jobs.

Data Science Course Reviews

Our ACTE Pune 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.

Sindhuja

Software Engineer

I am really happy and I want to say something about ACTE, This is a very good place to learn Data Science. And the trainer helped me to understand about Data Science. I hope this is the correct place to learn IT course. I suggest if anyone wants to learn course, I recommend ACTE Institute in Pune.

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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Get Hands-on Knowledge with Industrial Live Data Science Projects

Project 1
Recognition of Speech and Emotion

In this project, we are using Librosa to perform Speech and Emotion Recognition to identify the emotion and speech from a combination of tone and pitch of human voice.

Project 2
Driver Drowsiness Detection System

This project will help to recognize whenever the driver may get drowsy & fall asleep while driving by creating a model to detect the sleepy driver and raises an alert alarm to indicate.

Project 3
Customer Segmentations Project

The project uses the K-means clustering algorithm to perform the visualizations and distribute like gender specification to find the customers annual value and scores.

Project 4
Gender and Age Detection

It is an ML Project based on computer visioning, and through this Data Science project, you get familiar with a practical application of convolutional neural networks (CNN).

Show More
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