Executive PG Programme in Data Science

Start your Data Science career with India's #1 online Data Science programme, which is matched to NASSCOM's competence requirements created in partnership with industry and government approval. Begin your adventure today at INR 7,992 per month. Eligibility: Bachelor's degree with a minimum of 50% required. Concerning the Program- Choose from six specialities, benefit from professional mentorship and career assistance, and study 14+ programming tools and languages, among other things. 6 Distinctive Specializations Depending on your experience and professional goals, you can choose from six specialities. IIITB offers an Executive PGP in Data Science with a specialty. Dedicated Career Support You'll get one-on-one career counselling and simulated interviews with recruiting managers. Our 300+ hiring partners can help you advance your career. Student Assistance For your convenience, Student Support is accessible 24 hours a day, 7 days a week. Use the platform's Call Back option for urgent questions.

Overview of the Program Highlights

Python Programming Bootcamp is provided free of charge. Designed for Working Professionals, the Career Essential Soft Skills Program Status of IIIT Bangalore Alumni 14+ Programming Languages and Tools 60+ Projects in the Industry The first EPGP in India SSC NASSCOM Competency Standards are followed. For your convenience, Student Support is accessible 24 hours a day, 7 days a week. Sessions of career mentoring (1:1) High-Performance Coaching High-Performance Coaching is a portal that provides exclusive job possibilities (1:1) Just-in-Time Interviews are a type of interview that takes place when it is most convenient Personalised Industry Session with AI-Powered Profile Builder Assessments of Industry Readiness Bootcamp for Professional Development Top Skills You'll Pick Up Machine Learning, Data Visualization, Big Data, and Natural Language Processing are all examples of predictive analytics utilising Python. Jobs Available Data Analyst, Data Scientist, Data Engineer, Product Analyst, Machine Learning Engineer, and Decision Scientist are all terms used to describe people who work with data. For Whom Is This Program Intended? Freshers, Domain Experts, Software & IT Professionals, Engineers, Marketing & Sales Professionals, Freshers, Domain Experts, Software & IT Professionals Minimum Qualifications A bachelor's degree with a minimum of 50% or equivalent passing grades is required. There's no need to know how to code. Syllabus Best-in-class information from top academics and industry experts in the form of videos, cases and projects, assignments, and live sessions. Content Data Analysis in Excel Analytics Problem Solving Content Data Analysis in Excel Analytics Problem Solving The Data Toolkit is the first course. 2 Assignments in 13 Weeks Python Programming for Data Science (Introduction to Python Programming in Python) Credit EDA Case Study Data Visualization in Python Exploratory Data Analysis Data Analysis with SQL Advanced SQL & Best Practices Inferential Statistics Hypothesis Testing RSVP Movies is a SQL assignment. Machine Learning (Course 2) 8-Week Program 3 different assignments Regression Linear Assignment on Linear Regression Logistic Regression is a technique for predicting the outcome of Clustering Business Problem Solving Through Unsupervised Learning Assigning Clusters (Optional) Lead Scoring as a Case Study Deep Learning is a specialisation. 4 Assignments in 25 Weeks Models of Trees Model Selection and ML Techniques in General Advanced Regression Assignment Advanced Regression Bagging and Boosting Analyze the Principal Components Analysis of Time Series Case Study on Telecom Churn Neural Networks: An Overview Introduction to Convolutional Neural Networks and Industry Applications Assignment for CNN Recurrent Neural Networks (RNNs) are a type of neural network that Capstone Project on Gesture Recognition Natural Language Processing Specialization 25 Weeks 4 Assignments Models of Trees Model Selection and ML Techniques in General Analyze the Principal Components Advanced Regression Assignment Advanced Regression Time Series Analysis: Bagging and Boosting Telecom Case Study of a Churn Lexical Analysis Syntactic Analysis -Assignment on Syntactic Processing Automatic Ticket Classification Capstone Project Using Neural Nets for NLP Semantic Processing Business Analytics Specialization 25 Weeks 9 Assignments Models of Trees Model Selection & General Machine Learning Techniques Time Series Forecasting Retail-Giant Sales Forecasting Assignment Tableau Advanced Excel Visualization Telecom Case Study of a Churn Using Frameworks to Solve Structured Problems Assignment Operations for Structured Problem Solving Business Case Study on Research Data Storytelling Project Capstone Business Intelligence/Data Analytics Specialization 25 Weeks 9 Assignments Advanced SQL and Best Practices for Data Modeling Advanced Excel NoSQL Databases and MongoDB SQL Weeklong Lab Introduction to Big Data and Cloud Hive and Querying Hive Case Study Tableau is used to visualise data. IPL Visualization Assignment - Sports Analytics Data Storytelling Business Case Study Capstone Project Visualization using PowerBI Visualization with Plotly Data Engineering is a 25-week specialisation with 11 assignments. Big Data: An Overview (Optional) AWS Setup and Introduction to the Cloud Assignment on Hadoop and MapReduce Programming (Introduction to Hadoop and MapReduce Programming) (Optional) Relational Database Modeling and Data Management NoSQL Databases and Apache HBase and NoSQL Databases and MongoDB (Optional) Data warehousing is a term that refers to the process of storing (Optional) Data Ingestion and Querying with Apache Sqoop and Apache Flume Hive (Optional) Redshift is a service provided by Amazon. Apache: An Overview ETL Data Pipeline Project in Spark Cloud Infrastructure on AWS (Optional) Using Apache Flink to Optimize Spark for Large-Scale Data Processing (Optional) Apache Kafka for Real-Time Data Streaming Spark Streaming Assignment: Real-Time Data Processing (Optional) Project: Real-time data processing Capstone Project: Building Automated Data Pipelines using Airflow Analytics using PySpark Data Generalist Specialization 25 Weeks 5 Assignments Boosting Tree Models (Optional) Model Selection and ML Techniques in General Case Study on Telecom Churn (Optional) Analyze the Principal Components Classification (ML Lab I) Advanced Regression + Machine Learning (ML) Lab 2: Regression Text-Based Predictive Modeling + Text Analytics & Processing Tableau is used to visualise data. Business Case Study on Data Storytelling Advanced SQL Data Modeling - Week 2 Data Structures in SQL Weeklong Lab - Sets, Dictionaries, Stacks, and Queues Recursion + Algorithm Analysis Sorting and Searching I am participating in a week-long Python lab. Weeklong Lab-II Capstone Project in Python Choose one of the six specialisations below based on your experience and professional goals after completing Course 2 (Machine Learning). Deep Learning 4 Assignments in 25 Weeks Models of Trees Model Selection and ML Techniques in General Advanced Regression Bagging and Boosting Assignment on Advanced Regression Analyze the Principal Components Analysis of Time Series Case Study on Telecom Churn Neural Networks: An Overview Introduction to Convolutional Neural Networks and Industry Applications Assignment for CNN Recurrent Neural Networks (RNNs) are a type of neural network that Capstone Project on Gesture Recognition Natural Language Processing (NLP) is a 25-week course with four assignments. Models of Trees Model Selection and ML Techniques in General Analyze the Principal Components Advanced Regression Assignment Advanced Regression Time Series Analysis: Bagging and Boosting Case Study on Telecom Churn Lexical Analysis Syntactic Analysis -Assignment on Syntactic Processing Neural Networks in Natural Language Processing Automatic Ticket Classification Capstone Project: Semantic Processing Case Study Business Analytics is a 25-week course with nine assignments. Models of Trees Model Selection & General Machine Learning Techniques Time Series Forecasting Retail-Giant Sales Forecasting Assignment Tableau Advanced Excel Visualization Case Study on Telecom Churn Using Frameworks to Solve Structured Problems Assignment Operations for Structured Problem Solving Capstone Project: Research Data Storytelling Business Case Study Data Analytics/Business Intelligence 25 Weeks 9 Assignments Advanced SQL and Best Practices for Data Modeling Advanced Excel NoSQL Databases and MongoDB SQL Weeklong Lab Introduction to Big Data and Cloud Hive, as well as a case study on querying Hive Tableau is used to visualise data. IPL Visualisation Assignment Visualisation using PowerBI Visualisation using Plotly Data Storytelling Business Case Study Capstone Project Sports Analytics - IPL Visualisation Data Engineering is a 25-week course with 11 assignments. Big Data: An Overview (Optional) AWS Setup and Introduction to the Cloud Assignment on Hadoop and MapReduce Programming (Introduction to Hadoop and MapReduce Programming) (Optional) Relational Database Modeling and Data Management NoSQL Databases and Apache HBase and NoSQL Databases and MongoDB (Optional) Data warehousing is a term that refers to the process of storing (Optional) Data Ingestion and Querying with Apache Sqoop and Apache Flume Hive (Optional) Redshift is a service provided by Amazon. Apache: An Overview ETL Data Pipeline Project in Spark Cloud Infrastructure on AWS (Optional) Using Apache Flink to Optimize Spark for Large-Scale Data Processing (Optional) Apache Kafka for Real-Time Data Streaming Spark Streaming Assignment: Real-Time Data Processing (Optional) Using PySpark to create automated data pipelines with Airflow Analytics Project: Capstone Project on Real-Time Data Processing 25 Weeks as a Data Generalist a total of five assignments Boosting Tree Models (Optional) Model Selection and ML Techniques in General Case Study on Telecom Churn (Optional) Analyze the Principal Components Classification (ML Lab I) Advanced Regression + Machine Learning (ML) Lab 2: Regression Tableau Text Analytics and Processing + Text-Based Predictive Modeling Visualization Business Case Study on Data Storytelling Week 2 SQL Weeklong Lab Data Structures - Sets, Dictionaries, Stacks, Queues Data Modelling Advanced SQL - Week 2 SQL Weeklong Lab Recursion + Algorithm Analysis Sorting and Searching I am participating in a week-long Python lab. Weeklong Lab-II Capstone Project in Python

Projects in the Industry

Real-world industry initiatives sponsored by prominent firms in a variety of areas provide opportunities to learn. Participate in collaborative projects that include interaction between students and mentors. Take advantage of the opportunity to learn from skilled mentors in person. Subjective feedback on your contributions that is tailored to you in order to help you develop. The Benefits of Upgrad Hand-holding and devoted support to assist you in mastering Data Science Interactive Live Sessions with Leading Industry Experts covering Curriculum + Advanced Topics Industry Expert Guidance Personalised Industry Sessions with industry experts in small groups (of 10-12) to supplement programme content with unique industry-based learning Student Assistance For your convenience, Student Support is accessible 24 hours a day, 7 days a week. Use the platform's Call Back option for urgent questions. Sessions of Career Mentorship (1:1) Receive individualised feedback and mentoring from a seasoned industry expert to help you reach your goals. Coaching for High Performance (1:1) After completing the programme, you will be assigned a specialised career coach who will assist you in tracking your professional objectives, coaching you on your profile, and providing assistance during your career transition. Profile Builder using Artificial Intelligence On a real-time basis, get detailed, AI-powered inputs on your resume and Linkedin format, as well as content. Preparing for an Interview Before your interview, talk to industry experts and ask any questions you have. Career bootcamps are a great way to brush up on your technical knowledge while also honing your soft skills. Experiential Learning & Networking Technical professionals monitor a live discussion forum for peer-to-peer doubt resolution. Lab walkthroughs of industry-driven projects Peer to peer networking opportunities with a pool of over 10,000 alumni Weekly meetings for resolving doubts in real time Assessments of Industry Readiness For continual assessment and development, domain specialists create and validate industry-oriented tests. Possibilities for advancement in upgrad Elevate by upGrad: A virtual hiring drive that allows you to interview with upGrad's 300+ hiring partners. Portal for Job Openings: At any one time, upGrad's Job Opportunities page includes 100+ positions from upGrad's hiring partners. To obtain an advantage in the application process, be the first to learn about job openings. Make contact with firms that are a good fit for you.

Frequently Asked Questions

Q. What is the Executive PGP with upGrad in Data Science?

Ans. The Executive PGP is a 12-month online programme that focuses on developing practical knowledge and abilities, building a professional network, and accelerating entrance into data science employment for working professionals. IIIT Bangalore bestows the certification.

Q. Do I have to select the specialisation that upGrad recommends?

Ans. No. Once you've completed the main curriculum, you can pick any speciality you like. However, we strongly advise you to follow our advice, since it is based on a complex rule engine and is designed to offer you with the greatest conclusion for your background, making it simpler for you to transition to a data career.

Q. Will each specialty provide me with unique professional services?

Ans. Each specialty is created to provide you with the best results possible depending on your background and to assist you in entering the data domain. All of the tracks' services and support will stay the same. According to the criteria in their specialised track, each student will get live sessions, industry mentorship, preparation help, and access to relevant possibilities.

Q. What criteria should I use to determine which specialty is appropriate for me?

Ans. When you're reaching the conclusion of your common curriculum, upGrad will make a suggestion based on your background that's ideal for you. Although the final upGrad advice would come from a far more extensive rule engine, the following mapping should give you a sense of which specialty is suitable for you. -Data Science Generalist: Professionals with 0-5 years of experience who want to advance in Data Science. -Engineers, software developers, and IT professionals are all interested in deep learning. -Engineers, Software Developers, and IT Professionals - Natural Language Processing -Engineers, Marketing and Sales Professionals, Freshers - Business Intelligence/Data Analytics - Engineers, Managers, Marketing and Sales Professionals, Domain Experts in Business Analytics - Software and IT Professionals: Data Engineering