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    Data Science and Engineering Bootcamp

    BY
    upGrad

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    Mode

    Online

    Duration

    12 Months

    Fees

    ₹ 300000

    Inclusive of GST

    Quick Facts

    particular details
    Medium of instructions English
    Mode of learning Self study, Virtual Classroom
    Mode of Delivery Video and Text Based
    Learning efforts 12-15 Hours Per Week

    Course and certificate fees

    Fees information
    ₹ 300,000  (Inclusive of GST)
    certificate availability

    Yes

    certificate providing authority

    upGrad

    The syllabus

    Pre Program Preparatory Course (Bootcamp)

    • Data Structures in Python: Built-in vs Other User Defined
    • Control Structures in Python
    • Logic Building and Problem Solving in Python
    • DSA Concepts
    • Database design and Introduction to MySQL
    • Querying in SQL- DDL and DML
    • Maths behind Machine Learning - Probability, Linear Algebra, Differentiation

    Data Analysis

    • Data Science Landscape
    • Best Programming Practices
    • Logging and Unit testing
    • Python for DS
    • Data Visualisation in Python
    • Exploratory Data Analysis

    Programming Essentials

    • Working with Linux Commands
    • GIT + Networking fundamentals
    • Project

    Data Storage Systems

    • Advanced SQL and Problem Solving
    • Data Modeling
    • NoSQL Databases
    • Querying in MongoDB
    • Working with APIs + Project

    Data Pipelines for Batch Processing System

    • Basics of Data Pipelining + Scoping and Defining the problem + A deep dive into batch processing pipeline
    • Data Warehousing
    • ETL for Batch Processing System - Python/SQL Scripts
    • Scheduling workflow jobs using cronjobs
    • Assignment/Project

    Data Engineering for Big Data

    • Intro to Cloud and AWS + Scoping and Defining the framework for the problem
    • Hadoop Framework + Data warehousing using Hive
    • Spark API and Analysis using Pyspark
    • ETL using SparkSQL, Pyspark, Hive
    • Schedule and Automate Data Pipelines with Apache Airflow
    • Assignment/Project

    ML Techniques

    • Basics of Machine Learning - Inferential + Hypothesis
    • Regression Analysis
    • Regression Analysis
    • Classification Analysis
    • Clustering Analysis
    • Project

    Specialization 1 - Adv. Data Engineering

    • Data Pipelines for Streaming Systems
    • Cloud Data pipelines

    Specialization 2 - Machine Learning

    • Machine Learning in Practice
    • Deep Learning

    MLOps + Capstone

    • MLOps + Capstone

    Instructors

    Mr Hindol Basu

    Mr Hindol Basu
    Chief Executive Officer
    IIM Bangalore

    Mr Ankit Jain

    Mr Ankit Jain
    Senior Research Scientist
    Uber Technologies Inc.

    Mr Sajan Kedia

    Mr Sajan Kedia
    Data Scientist
    Myntra

    Mr Arihant Jain

    Mr Arihant Jain
    Data Scientist
    Camden Town Technolo...

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