Executive Post Graduate Programme in Data Science

Begin your journey with India’s #1 online Data Science Program. The Data Science and Analytics program is designed for individuals who want to become leaders in the rapidly evolving world of data science.. The Data Science and Analytics program is designed for individuals who want to become leaders in the rapidly evolving world of data science..

This program is designed to accept students & Engineers from diverse academic backgrounds (ranging from traditional liberal arts to STEM disciplines).

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And Real Work experience Directly From Industries

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Learners

62%

Average Salary Hike

Online + Live

Session Format

100 Hours

Live Learning

Emi Options

Starts at INR 5,669/Month

Full Stack live online classes

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15th Jan
15th Mar
15th May
SAT & SUN (15 WEEKS)
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SAT & SUN (15 WEEKS)
Weekend Batch
SOLD OUT
Timings - 09:00 AM to 11:45 AM (IST)
SOLD OUT
Timings - 09:00 AM to 11:45 AM (IST)
Timings - 09:00 AM to 11:45AM (IST)
ENROLL NOW
15th May
SAT & SUN(15 WEEKS)
Weekend Batch
Timings - 09:00 AM to 11:45 AM (IST)
ENROLL NOW
15th Apr
SAT & SUN(15 WEEKS)
Weekend Batch
FILLING FAST
Timings - 09:00 AM to 11:45 AM (IST)
15th Mar
SAT & SUN(15 WEEKS)
SOLD OUT
Timings - 09:00 AM to 11:45 AM (IST)
15 Jan
SAT & SUN (15 WEEKS)
SOLD OUT
Timings - 09:00 AM to 11:45 AM (IST)

Course Price at

₹75,000  ₹1,50,000

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   ⓘ No Cost EMI starts at  ₹ 5,999 / month  View more

All Our Programs Include

  • Live Online Interactive Classes.
  • Live Doubt Clearance and Support.
  • Access to our Weekly Masterclasses on all Software Development topics.
  • 24X7 Access to Industry Experts for all your questions.
  • 100% Referral Guarantee.
  • Real-World Industry Projects and Coding Assignments.
  • Career Support through Personalized Industry Sessions in small groups
  • Capstone Projects in multiple domains.
  • Upto 4 Mock Interviews.
  • 100+ hours of Live Content.
  • Lifetime Access – Re-join a batch again anytime for free.
  • Sessions by Industry Experts from MAANG.
Enquiry Form Full Stack Development

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Get to know in detail about our

Data Science development

Module-1

Duration:40 Hrs

Backend (java, python, C#)

Pre Program Preparatory Content, Data Analysis, Analytics Problem solving.

Introduction to Python, Python Advance, Data Visulation in Python, Python for data science.

Statistics and Probability.

Data Analysis using SQL.

Advance SLQ & SQL Assignment and Best Practices.

Module-2

Duration:60 Hours

Front end(js)

Basic Machine Learning. Linear & Logistic regression. Decision tree and Clustering.

Advance Machine Learning and Deep Learning.

Basic and Advance Computer Vision. Object Detection and segmentation.

Capston Project.

Module-3

Duration:50 Hrs

Projects

Specialisation: Natural Language Processing

Specialisation: Business Analytics.

Specialisation: Business Intelligence/DataAnalytics

Specialisation: Data Engineering basic and Advance.

Capstone Project

Download syllabus Datascience

Expertifie In News

Our purpose is to serve application-based learning approach that is targeted on guiding learners to strengthen suitable experience in the technologies they lead, to signify expertise.

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Work on live projects to get hired at:

Learn from top industry experts with live online classes

Get Demonstrated Guidance

Having doubts? Talk to our experts now!

Receive excellent counselling and know about the deserving career transition in detail personally from our experts.

Accomplish eminent things in your career

Get to know the perfect course you deserve to bring growth and advancement in your career directly from our experts.

Top Skills You Will Learn

Predictive Analytics using Python, Machine…

Job Opportunities

Data Analyst, Data Scientist, Data Engineer,…

Who Is This Programme For?

Engineers, Marketing & Sales Professionals, Freshers, Domain…

Minimum Eligibility

Bachelor’s Degree with minimum 50% or…

Programming Languages and Tools

Obtain Certificate after Course completion.

Industry Experience

Gain an in-depth understanding of data structure and data manipulation. Understand and use linear and non-linear regression models and classification techniques for data analysis. Obtain an in-depth understanding of supervised and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipelines. Gain expertise in mathematical computing using the NumPy and scikit-learn packages Master the concepts of recommendation engines and time series modelling and gain practical mastery over principles, algorithms, and applications of Machine Learning. Learn to analyze data using Tableau and become proficient in building interactive dashboards. At Expertifie you get a Global Certification in Data Science. Become an industry expert with Data Science Master’s Program in collaboration with Expertifie. Our Certification is recognised globally and industry wide in top leading companies.

Industry Projects

Learn through real-life industry projects sponsored by top companies across industries

 

  • Engage in collaborative projects with student-mentor interaction
  • Benefit by learning in-person with expert mentors
  • Personalised subjective feedback on your submissions to facilitate improvement

Learn and Work

Why Real Work Experience?

The Data Science role requires an amalgam of experience, Data Science knowledge, and using the correct tools and technologies. It is a solid career choice for both new and experienced professionals. Aspiring professionals of any educational background with an analytical frame of mind are most suited to pursue the Data Scientist Master’s Program. Take the benefit of Live Discussion forum for peer-to-peer doubt resolution monitored by technical experts. Peer to peer networking opportunities with an alumni pool of 10000+ and weekly real-time doubt clearing sessions. At Expertifie, we recognise the importance of practical, workplace-based experience, for our professionals.

Syllabus

In Data Science course with Expertifie, you will:

  • Gain an in-depth understanding of data structure and data manipulation.
  • Understand and use linear and non-linear regression models and classification techniques for data analysis.
  • Obtain an in-depth understanding of supervised and unsupervised learning models such as linear regression, logistic regression, clustering, dimensionality reduction, K-NN, and pipeline.
  • Perform scientific and technical computing using the SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave.
  • Gain expertise in mathematical computing using the NumPy and Scikit-Learn packages.
  • Master the concepts of recommendation engine and time series modeling and gain practical mastery over principles, algorithms, and applications of machine learning.
Pre-Programme Preparatory Content
  • Data Analysis in Excel
  • Analytics Problem Solving
Course 1: Data Toolkit
  • Introduction to Python
  • Programming in Python
  • Python for Data Science
  • Data Visualization in Python
  • Exploratory Data Analysis
  • Credit EDA Case Study
  • Inferential Statistics
  • Hypothesis Testing
  • Data Analysis using SQL
  • Advanced SQL & Best Practices
  • SQL Assignment: RSVP Movies
Course 2 - Machine Learning - I
  • Linear Regression
  • Linear Regression Assignment
  • Logistic Regression
  • Classification using Decision Trees
  • Unsupervised Learning: Clustering
  • Basics of NLP and Text Mining
  • Business Problem Solving
  • Case Study: Lead Scoring
Specialisation- Deep Learning
  • Bagging & Random Forest
  • Boosting
  • Model Selection & General ML Techniques
  • Principal Component Analysis
  • Advanced Regression
  • Advanced ML Case Study
  • Time Series Analysis
  • Introduction to Neural Networks and ANN
  • Neural Network Assignment
  • Convolutional Neural Networks
  • Convolutional Neural Networks – Introduction and Industry Applications
  • Object Detection & Image Segmentation (Optional)
  • Recurrent Neural Networks
  • Gesture Recognition
  • Capstone Project
Specialisation- Natural Language Processing
  • Bagging & Random Forest
  • Boosting
  • Model Selection & General ML Techniques
  • Principal Component Analysis
  • Advanced Regression
  • Advanced ML Case Study
  • Time Series Forecasting
  • Neural Nets for NLP
  • Syntactic Processing
  • Syntactic Processing Assignment
  • Semantic Processing
  • Applied DL in NLP
  • Case Study: Automatic Ticket Classification
  • Capstone Project
Specialisation- Business Analytics
  • Bagging & Random Forest
  • Model Selection & General ML Techniques
  • Time Series Forecasting
  • Model Selection Case Study
  • Visualisation using Tableau
  • Advanced Excel
  • Visualisation using PowerBI
  • Structured Problem Solving using Frameworks
  • Data Storytelling
  • AirBnB Case Study
  • Operations Research in Excel
  • Data Architecture
  • Data Strategy
  • Business Case Study
  • Capstone Project
Specialisation- Business Intelligence/Data Analytics
  • Data Modelling
  • Advanced SQL and Best Practices
  • Introduction to Big Data and Cloud
  • Analytics using Spark
  • Big Data Case Study
  • Visualisation using Tableau
  • Advanced Excel
  • Visualisation using PowerBI
  • Structured Problem Solving using Frameworks
  • Data Storytelling
  • AirBnB Case Study
  • Data Structures – Sets, Dictionaries, Stacks, Queues
  • Searching and Sorting
  • Algorithm Analysis + Recursion
  • Advanced Database Programming using Pandas
  • Python & SQL Lab
  • Capstone Project
Specialisation- Data Engineering
  • Data Management and Relational Database Modelling
  • Introduction to Big Data(Optional)
  • Introduction to Cloud and AWS Setup
  • Introduction to Hadoop and MapReduce Programming
  • Assignment (Optional)
  • NoSQL Databases and Apache HBase and NoSQL Databases and MongoDB(Optional)
  • Data Warehousing (Optional)
  • Data Ingestion with Apache Sqoop and Apache Flume
  • Map reduce Programming Assignment
  • Hive & Querying
  • Assignment (Optional)
  • Amazon Redshift
  • Introduction to Apache Spark
  • Project: ETL Data Pipline
  • AWS Cloud Infrastructure (Optional)
  • Optimising Spark for Large Scale Data Processing
  • Apache Flink(Optional)
  • Real-Time Data Streaming with Apache Kafka
  • Real-Time Data Processing using Spark Streaming
  • Assignment (Optional)
  • Building Automated Data Pipelines with Airflow
  • Analytics using PySpark
  • Project: Real Time data processing
  • Capstone Project

Program Highlights

Live sessions by Experts

Project based learning

Job Assistance

1:1 Doubt Clearing session

Lifetime Access

400+ Assignments

Never ending data science case studies.

Global Certification

Industry - partnered capstone projects

Hands-on Projects

Under our Full stack development Master’s Program

1000+ coding questions

2 Capstone Projects

Real World Industry Projects

Our Obligation is to furnish World-class Education

Expertifie thrives on the purpose of serving application-based learning approach that is intended on guiding learners to strengthen deserving experience in the technologies they lead, to signify expertise

REVIEWS FROM OUR SUCCESSFUL ALUMINI

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Upcoming Cohort Deadline

The admission closes once the required number of applicants enroll for the upcoming cohort. Apply early to secure your seats and get started on your professional Full stack development training.

15-April -2024

Got Questions regarding next cohort date?

Frequently Asked Questions

1. What is Data Science?

Data science is a broad field that involves dealing with large volumes of data to uncover hidden trends and patterns and extract valuable information that aids in better decision-making. As companies are collecting massive amounts of data, they use various data science tools and techniques to build predictive models. Expertifie’s Data Science training can help you learn all of its concepts from scratch.

    2. What is the Master's in Data Science with Expertifie?

    The Master’s degree is an engaging yet rigorous 6-month online program designed specifically for working professionals to develop practical knowledge and skills, establish a professional network, and accelerate entry into data science careers. The industry renowned certification is awarded by Expertifie that is recognised globally.

    3. Who is a Data Scientist?

    A Data Scientist is an individual who gathers, cleans, analyzes, and visualizes large datasets to draw meaningful conclusions and communicate them to the business leaders. The data is collected from various sources, processed into a format suitable for analysis, and fed into an analytics system where a statistical analysis is performed to gain actionable insights.

    4. What should I expect from the Master's Degree in Data Science?

    Expect to carry out several industry-relevant projects simulated as per the actual workplace, making you a skilled data science professional at par with leading industry standards.

    5. What is the eligibility for taking up the Data Science Course?

    Learners need to possess an undergraduate degree or a high school diploma. Basic knowledge of statistics and a basic understanding of any programming language is recommended.

    6. How will I receive Data Science course material after joining?

    After you complete the payment, you will get notified of your successful enrollment through email. It will give you all the details regarding how to access the Data Science course material. Following the steps, you can go through the video lessons instantly.

    7. What type of learning experience should I expect?

    The content will be a mix of interactive lectures from industry leaders as well as world-renowned faculty. Additionally, the program comprises live lectures or hangout sessions dedicated to solving your academic queries and reinforcing learning.

    8. How do I know which specialisation is best for me?

    When you’re nearing the end of your common curriculum, Expertifie will provide you with a recommendation best suited for you based on your background. The following mapping should give you an idea about the specialisation best suited for you although the final Expertifie recommendation would come from a much more exhaustive rule engine.

    9. Is Data Science a good career option?

    Companies are embracing digital transformation and the growing dependency on data makes a career in data science quite promising. Businesses are accelerating their digital initiatives and data science skills will remain in high demand in the near future. Moreover, with the existing skills gap, companies are even ready to pay higher salaries to data scientists. With Expertifie’s Data Scientist course, you can qualify for this rewarding career.

    10. What are the benefits of joining Expertifie’s Data Science Course?

    Expertifie’s Data Science course is unique because of the following major features:

    1. It offers more than 200 hours of interactive, live learning.
    2. There are capstones and over 15 real-world projects involving datasets from Amazon, Comcast, and Uber.
    3. Career Assistance from Lead Engineers from MAANG to help you build a resume and prepare for interviews.
    11. What is the procedure of enrolment For Data Science Course?

    You can enroll in this Data Science training on our website and make an online payment using any of the following options:

    1. Visa Credit or Debit Card
    2. MasterCard
    3. PayPal
    4. Once payment is received, you will automatically receive a payment receipt and access information via email.