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Ace The PG in Data Science & Data Analytics

Learn Skills In-Demand That Innovative Companies Are Looking For

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Upskilling That Is Helping Our Learners Earn Packages Upto 18LPA per year

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About the Program

The Post Graduate Program in Data Science & Analytics with Python takes you from the basics to an advanced understanding of all the concepts. The program curriculum and structure are prepared and vetted by industry experts to give up-to-date and current knowledge. Not only will you learn the fundamental theoretical aspects but you will also experiment with & implement these concepts practically. With expert mentors guiding every session and project managers helping you through your live & capstone projects, you will constantly have the support that will help prepare you for your future career. Be a part of our growing Data Science Learners Community & Discussion Forum and grow your network with others in the industry. Not only that you will also gain interview preparation skills, build a strong resume and create a high-performing portfolio. And in 8 Months, you will be a qualified, certified and experienced Data Scientist ready to be placed with any one of our 1000+ hiring partners. Read more

Program Highlights

Program Duration: 6 Months

Learning Hours: 240 Hours

Modules: 17+

Digital Tools Covered: 25

Case Studies: 20

Projects & Assignments: 25

Digital Certifications: 15

Brand Case Studies:

Learners From 30+ Countries

Learning Format

10,000+ Students Have Jobs in 1,000+ Companies

G.J.Prithivirajan

Mega Parsaar

JOIN OUR ALUMINIS

Ajith Anand

Atul Kumar

Santosh B

Shruti Sahu

Sariga Sivanandan

Sonal

G.J.Prithivirajan

Ajith Anand

Atul Kumar

Santosh B

Shruti Sahu

Sariga Sivanandan

Sonal

Expertise You Will Be Known For

Learn Python, ANOVA, Data Science Maths, Numpy, Pandas, Matplotlib, Seaborn, Natural Language Processing and more

Is This Program For You?

From College Freshers to Entrepreneurs to Home Makers this program is for anyone who wants to change their career and growth opportunities.

The One-Stop Learning Platform

For Your Career

USA

72+ Students

Career Advice

Program Walk Through From Dedicated Learning Advisors
Get Certification Equivalent Masterclass At No Cost
Pre-Enrolment 15 Mins 1-On-1 Dedicated Mentor Session
Seamless Onboarding, Documentation & Payment Process

Guided Program

Basics To Advanced Training With Practical Implementation
100% Mentor-Led Live, Back-Up, & Doubt Clearing Sessions
Premium Tools Knowledge And Certification Training
Holistic And All-Round Theoretical & Practical Learning

Specialization

3+ Core & Advanced Specializations
Gain In-depth Knowledge In Your Choice Of Specialisation
Expand Your Skill Sets And Become An Expert
Master Concepts That The Industry Requires

Practical Sessions

Daily & Weekly Practical Assignments And Assessments
Discuss And Analyze Industry-Based Brand Case Studies
Industry-Based Live Projects That Professionals Are Working On
Working High Profile Portfolio Building Capstone Projects

Placement Cell

Soft Skills, Presentation and Personality Development Skills
Technical Q&A and Practical Round Preparation
Build and Present A High Performing Resume and Portfolio
Practice Interview Skills With Over 10+ Mock Interviews

Resources & Forum

Lifetime Access To Learning Management System and Study Material
Get Access To Templates, Cheatsheets, SOPs and Recorded Sessions
Be A Part Of The Ever Growing Social Media Learners Community
Join The Mentors, Guest Lectures and Industry Veterans Discussion Forum

Why Should You KickStart Your Career As A Data Scientist

33000+

In-demand Jobs

35000+

Jobs On

11000+

Jobs on

0.5%

Global Population Are Active On Social Media

75 %

Of Data Experts use Python for Data Science Work

90%

Of all the data was created in the past 2 years

Data Science is on a constant rise and need across industries

With the full adoption of Internet technology in daily life, modern businesses now rely on electronic channels that transfer information through digital data. The rise of data science and analytics has attracted the youth to pursue careers in current technology. Job opportunities like Data Analyst, Data Engineer, Database Administrator, Data Scientist, Data Architect, Statistician and Business Analyst have increased by 10-fold. Data science is a newly emerging field in the computer age where experts acquire intelligence and meaningful acumen to apply in practical cases in the digital world. Specialized domains in the study of data science include machine learning, artificial intelligence, data mining, and big data. Data scientist deals with the principles of mathematics applied to a huge set of data. Data Analytics is a field of data science where analysts systematically analyze data, interpreting behavioural and factual data patterns to obtain projections for effective decision-making for the efficient operation of the business. Data analysts use statistical principles, and operational research knowledge to develop computer modelling of the smart side of data – domains related to the role of analysts, including business, industry, science, and social sciences. Read more

Not By Saying But By Choice

Data Science

Topics You Will Master In This Data Science Program

Program Modules

Advance Python

2 Months 5+ Assignments

Analytics Software’s Basic Excel
Introduction to Python
Programming in Python
Flowcharts, Data Types, Operators
Conditional Statements & Loops
Functions & Strings
List, Tuple, Dictionary, Set
Functional Programming
Decorator, Args, Kwargs
Object Oriented Programming
Inheritance, Polymorphism, Overriding
Exception Handling
Modules, Package, Library, Built-in Modules
RDBMS & SQL (Basics)
Basic DSA & Problem Solving
Time complexity
Bit Manipulation

Data Science Fundamentals

10+ Days 5+ Assignments

Hypothesis test, AB testing
ANOVA
Correlation
Matrix Algebra, Number Systems
Lambda Functions, List Comprehension
Searching, Sorting, Recursion
EDA, Feature Engineering, Missing value treatment
Experiment Design
Regex, NLTK, OpenCV

Data Science Maths

10 Days 5+ Assignments

Probability
Bayes Theorem
Distributions
Descriptive Statistics, outlier treatment
Confidence Interval
Tabola Advertising
Central limit theorem

Data Science Libraries

15+ Days 5+ Assignments

Numpy
Pandas
Matplotlib, Seaborn
Charts to visualize data and generate insights
Univariate and Bivariate analysis using python
Web API
Web Scraping
Build and Validate Hypothesis using statistical tests

Data Evangelist

5+ Days 5+ Assignments

Framework to DS Strategy
Mapping DS with Data Architecture Strategy
Executing DS Strategy

Natural Language Procecssing (NLP)

20+ hours 5+ Assignments

Descriptive & Inferential Statistics
Hypothesis Testing
Linear Regression
Forecasting
Project: Regression
Classification
Clustering & Market Basket Analysis
Text Analytics, Processing, and Predictive Modelling
Model Selection

Maths for Machine Learning

20+ hours 5+ Assignments

Classification
Hyperplane
Halfspaces
Calculus
Optimization
Gradient Descent
Eigenvalues, Eigenvectors
Principal Component Analysis

Basics of Machine Learning

10+ hours 5+ Assignments

Linear Regression, Gradient Descent
Multicollinearity, VIF, R-square, Heteroscedasticity
Sklearn
Polynomial Regression
Bias-Variance trade-off
Regularisation
Logistic Regression, Sigmoid
AUC, ROC, Precision-Recall Curve
Confusion matrix, Specificity
KNN
Decision Trees, Ensemble learning, Bagging, Boosting
Support Vector Machine
Bayesian Machine Learning

Advance Machine & Deep Learning

10+ Days 5+ Assignments

Clustering
K-means
Hierarchical clustering
Density-based clustering
Recommender systems
Time series - ARIMA, SARIMA, SARIMAX, Facebook Prophet
PCA, t-SNE, UMAP
High dimensional visualization
Outlier detection

Neural Network

10+ Days 5+ Assignments

Perceptrons
Neural Networks
Hidden Layers
Tensorflow
Keras
Forward and Back Propagation
Multilayer Perceptrons (MLP)
Callbacks
Tensorboard
Optimization
Hyperparameter tuning

Data Importing/ Exporting

15+ Days 5+ Assignments

Introduction R/R-Studio - GUI
Concept of Packages - Useful Packages (Base & Other packages)
Data Structure & Data Types (Vectors, Matrices, factors, Data frames, and Lists)
Importing Data from various sources
Exporting Data to various formats
Viewing Data (Viewing partial data and full data)
Variable & Value Labels – Date Values

Using R with Data Base

10+ Days 5+ Assignments

R and Relational Databases
Connecting to Relational Databases using RJDBC and RODBC
Database Design and Querying Data
Modifying Data and Using Stored Procedures
In-Database Analytics with R

Basic Visualization Tool

10+ Days 5+ Assignments

Bar Charts/Histograms/Pie Charts
Scatter Plots
Line Plots and Regression
Word Clouds/ Radar Charts
Waffle Charts/ Box Plots
Creating Maps in R
Introduction to Shiny
Creating and Customizing Shiny Apps
Additional Shiny Features

Deep Learning

10+ Days 5+ Assignments

Introduction to Deep Learning
Introduction to Neural Networks
Activation Function, Optimizers, Loss Functions
Image Classification
Transfer Learning
RNN, LSTM, GRU
Text Classification

Dashboarding Using Tableau

20+ Days 5+ Assignments

Importing and working with different kinds of data in Tableau
Build bubble charts, geo-location charts, and many others
Learn to create Dashboards in Tableau
Master storyboarding in Tableau
Learn to create engaging presentations
Perform feature engineering in Tableau
Become familiar with data manipulation in Tableau

Dashboarding Using PowerBI

15+ Days 5+ Assignments

Loading datasets and establishing table relationships
Work with different type of charts and dashboards
Working with Map visualizations and other advanced charts with drill down functionalities
Working with power query for data manipulation
Writing DAX expressions

Time Series

15+ Days 5+ Assignments

Understand Important concepts of Time Series Forecasting
Learn to use ML techniques for Time Series forecasting
Understand Validation and Evaluation techniques for Time Series
Learn Exponential Smoothing Methods for Forecasting
Understand and Implement ARIMA and SARIMA Models
Implement Deep Learning architecture for Time Series

20+ Certificates

Advanced Python

Learn & Understand the importance of Map Function, itertools, Lambda Function, Exception Handling, Decorators, Collections, Generators, Magic Methods, Threading and much more

Natural Language Processing (NLP)

Learn how NLP combines computational linguistics, with statistical, machine learning, & deep learning models that translate text from 1 language to another, respond to spoken commands & summarize text rapidly.

Deep Learning with AI

Use deep learning with artificial intelligence (AI) to understand the way humans gain certain types of knowledge it is an important element of data science, which includes statistics and predictive modelling.

R for Data Science

R is an important tool for Data Science. Learn the open-source programming language that is widely used as statistical software, data analysis tool and for other functions.

Learn How To Use Premium Data Science Training Tools

Capstone Projects

Face Detection System

Machine Learning Chatbots

Restaurant Revenue Prediction

Build a Data Pipeline

Census Management System

Predictive Lead Scoring

Still Not Sure About The Course?

Avoid Confusion, Choose The Right Option That Suits Your Needs.

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Your Career As A Data Scientist

Here Is How We Ensure Your Placements

Learning Advisors

Program Assistants

Academic Masters

Industry
Experts

Project Manager

Placement Coach

Entry Level Salary Range

₹ 73020

/mo*

Find Your Monthly Revenue

Here is an average estimate of your monthly income as Data Scientist

Popular designations

Senior Data Scientist, Data Analyst, Data Engineer, Senior consultant, Analyst, Associate Analyst

Talk to advisor

Talk to placement officer?

Call us to be connected with our placements officer.

The Average Income of A Data Scientist

₹ 84,000

Data Scientist salary in India ranges between ₹ 3.8 Lakhs to ₹ 26.0 Lakhs with an average annual salary of ₹ 10.0 Lakhs. Salary estimates are based on 21.5k latest salaries received from Data Scientists.

Salary hike based on experience

83,333

Avg. Base Salary (INR)

LOW

₹ 3.8L

MEDIAN

₹ 10.0L

HIGH

₹ 26.0L

*Average Salary Of A Data Scientist Professional source Ambitionbox

Our Alumni Works In

Career Services @digitalacademy360

Soft Skill

Learn the soft skills, body language, and presentation skills required to become an all-around professional.

Mock Interviews

Practice with multiple rounds of mock interviews to prepare you for all interview questions & rounds.

Portfolio Building

Create a killer portfolio showcasing your skills and knowledge to potential employees and clients.

Resume Building

Build a high-performing resume that showcases your qualifications, experiences & skillsets to grab a job.

Interview Ready

Gain insights, answer interview questions, prepare a killer resume & attend mock interviews to get a job.

#lifeatda360

Want To Take A
Learning Break?

Unable to attend the sessions? You can pause your course for up to 10 days and resume at your convenience or even change your batch timing once to suit your needs.

Talk to program manager

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FAQ

Program

Delivery

Placement

Certification

Fee

This Post Graduate Program in Data Science & Analytics with Python is led by skilled mentors and industry experts to help you gain mastery over this domain through various skills, tools, and industry-based projects. You will gain in-depth knowledge and hands-on experience.

After completing the course and successfully executing the assignments and projects, you will receive your certification, which will qualify you for top-paying jobs around the world.

The Post Graduate Program in Data Science & Analytics with Python is designed by industry experts who emphasize the need for planning, managing, and executing digital marketing activities that include overseeing the performance of integrated multi-channel online campaigns.

The Post Graduate Program in Data Science & Analytics with Python at Digital Academy 360 gives you a chance to master in-demand tools and explore the depths of data science & python. These aspects are essential to ensure a sound career for your future.

So, the key skills you learn here are Statistical analysis and computing, Machine Learning, Deep Learning, Processing large data sets, Data Visualization, Data Wrangling, Statistics, Big Data, and more.

Individuals looking to make a mark in the IT industry are the perfect fit for this course. However, professionals in the industry will also benefit immensely from this Data Science & Analytics program that allows them to fine-tune existing skills and learn ground-breaking Data Science concepts.
With that being said, the Post Graduate Program in Data Science & Analytics with Python is open to everyone. There is no age limit or difference in training based on gender or ability. Anybody can opt for a career in Data Science

Individuals looking to make a mark in data science are a perfect fit for this course. A data scientist’s job is to analyze data for actionable insights, including -

Identifying the data-analytics problems that offer the greatest opportunities to the organization
Determining the correct data sets and variables
Collecting large sets of structured and unstructured data from disparate sources
Cleaning and validating the data to ensure accuracy, completeness, and uniformity
Devising and applying models and algorithms to mine the stores of big data
Analyzing the data to identify patterns and trends
Interpreting the data to discover solutions and opportunities
Communicating findings to stakeholders using visualization and other means

Digital Academy 360 offers the Post Graduate Program in Data Science & Analytics with Python via both online and offline mediums. Science many applicants prefer the online mode of classes, our faculty carry out live training sessions online too. The students who prefer in-person training are welcome to use the classroom facilities that are available. In fact, candidates who prefer an online-only mode of training can even avail of a reduction in course fees.
Given how the pandemic took the whole world by surprise, we managed to rise to the challenge by keeping our business afloat. Businesses shifted to offering their products and services online and so we adapted. So, wanting to train from home is a completely normal practice today and you can complete your Data Science & Analytics and certification from home if you so wish.

The Post Graduate Program in Data Science & Analytics with Python is a comprehensive program that offers extensive training in tools such as python, Bin Dig X NumPy, X Excel, git, SQL, pandas, ↑ TensorFlow, and many others. To build- up excellence with a hands-on approach, it is essential to have real-time access to these best tools for top-class learning and deeper understanding.
We recommend our students use these industry-recommended tools, at a premium access level. At Digital Academy 360, Data Science & Analytics, and certification are well-planned and structured.

Our program focuses on hands-on exposure and includes 10+ live projects and case studies. You will be working on various domains such as education, real estate, health, the corporate IT sector, and much more.
The live projects act as real practical experience that allows you to understand the ground realities involved in data science. Your certification is more valuable with real-time exposure.

Yes, you will have access to study material in the form of online presentations and manuals, and brochures in PPT and PDF formats. All learning material will be made available on our Learning Management System throughout the duration of the course. This allows you to revisit classroom session videos at any time, anywhere. Here’s the kicker, all students get unlimited access to the LMS for up to 2 years after the completion of the certification course.

The Post Graduate Program in Data Science & Analytics with Python offers you 12+ global certifications after completing all the modules.

While many young professionals labor too hard to complete even one certification, here we ensure you complete data science & analytics with python training with more than 12 certifications within 8 months' time.

Yes, all candidates have to complete the certification test at the end of the course to finish the Data Science & Analytics. A minimum of 70% is required as the test score to be eligible to qualify for job opportunities in corporate, SMEs, and other agencies.
To be eligible for placements at Tier 1, multinational companies, and bigger brands, a higher cut-off is used [ > 85%]. All certifications are only valid when the students have been tested and deemed bonafide. So the value of the certification is subject to passing the final test and being a job-ready graduate.

The Post Graduate Program in Data Science & Analytics with Python prepares you for dynamic careers in the digital space. Some of these career options include

Data Analyst
Data Engineer
Database Administrator
Data Scientist
Data Architect
Statistician
Business Analyst
Data and Analytics Manager

MNCs, leading educational institutions, healthcare industries, and advertising agencies offer lucrative Data Science jobs that encourage you to build successful careers.

While the average salary for a Data Scientist depends on the individual’s performance and expertise, the pay package for freshers can range anywhere between ₹4 Lac to over ₹8 Lac per annum. Once a professional gains 4 to 5 years of experience, he or she would easily be paid ₹10 Lac per annum and even more.
The pay packages differ for the varied job positions and the performance of the individual, but overall a reasonable salary is afforded to all Data Science professionals.
At Digital Academy 360, the average pay package that our alumni have enjoyed is ₹5 Lac per annum. The highest salary package of a student we placed was ₹9 Lac per annum for a fresher. That is why we take pride in our delivery of Data Science & Analytics.

To avail of our numerous placement opportunities, there is a minimum requirement of passing the certification course with at least 70% marks. Additionally, an attendance record of 90% or more is also mandatory to be eligible for placements. Please refer to the Admission offer letter for more information or contact one of our Learning Advisors.

Absolutely! At Digital Academy 360, we go the extra mile for all our students. Learning at Digital Academy 360 does not stop at Data Science & Analytics and completing the certification. We go over and beyond to ensure that you get placed at a company that you love. This includes training you for interviews and helping you understand corporate culture.
We also help you set up your LinkedIn profile and build a decorated tech resume that will increase your chances of being hired by top companies.

Yes, you can. You will be skilled and an expert in the realm of Data Science after you complete our Post Graduate Program in Data Science & Analytics with Python. We empower the professionals that we train to be talented and confident enough to find their career paths. We always offer 100% support to all our Students, no matter which course they choose.

The Post Graduate Program in Data Science & Analytics with Python is by far the most preferred course for its in-depth and extensive learning and hands-on training, which takes 8 months to complete.

Please reach out to our Learning Advisors by calling +91 73535 15515. You can also fill out the inquiry form on our website to receive a call back from our team.

Yes, you can. We offer installment options for all courses. There are 2 options available under the EMI scheme - Upto 15 Months. To make the payment structure much easier and less of a burden, students can avail of EMI options and pay their fees accordingly. To know more about EMI options, you can get in touch with our career counselor by filling out the inquiry form online.

Yes, the basic eligibility to register for this Data Science & Analytics is being a Graduate or having an equivalent level of education qualification along with good communication skills and basic computer knowledge. Our applicants are a healthy mix of college graduates and working professionals.
The basic requirement of having graduates is in line with the placement requirements of big brands. Because we ensure placements for all our students, we hold minimum criteria for all applicants. Other than that, basic computing skills are required to participate in all the modules, both online and offline.

Please download the Course brochures from our website to know more about the different courses and fee plans. Also, you can schedule a FREE counseling session with our Learning Advisors to get an in-depth understanding of the courses and fee payments and choose the right course for you. All you need to do is Call us at +91 73535 15515.