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Data Science Master's Programme

Data Science

Master's Programme

Data Science can be a combination of diverse algorithms, tools, and machine learning fundamentals with the wish to receive hidden patterns in the information. Data Science Master program at ITUpgrad provided by experienced Data Scientists.

Our Data Science Course module is completely designed about how to analyse Data Science with R programming and Data Science with Python programming. Data Science course certification will help you be a professional Data Scientist. The Data Science Master’s Program prepares you for the role of Data Scientist by making you an expert in Statistics, Data Science, Big Data, R Programming, Python. There is an increasing demand for skilled data scientists across all industries, making this data science certification course well-suited for participants at all levels of experience.
  • Basic knowledge of statistics
  • Basic understanding of any programming language
  • Any Graduate/Any Post-Graduate
  • Freshers/Working Professionals
Data Science Master's Programme
Timeline and Prerequisite
9 - 10 Months
Course Duration
Data Science Master's Programme
Curriculum
  • Data Science with Python
    • Introduction to Data Science
    • Introduction to Python
    • Python Basics
    • Python Packages
    • Importing Data
    • Manipulating Data
    • Statistics Basics
    • Error Metrics
  • Machine Learning
    • Supervised Learning
    • Unsupervised Learning
    • SVM
    • SVM Kernel
    • Other Machine Learning algorithms
  • Artificial Intelligence

    Module 1

    • AI Introduction
  • Deep Learning

    Module 1

    • Deep Learning Algorithms
    • Introduction to NLP
    • Text to Features (Feature Engineering)
    • Tasks of NLP
  • Tableau
    • Tableau Course Material
    • Learn Tableau Basic Reports
    • Learn Tableau Charts
    • Learn Tableau Advanced Reports
    • Learn Tableau Calculations & Filters
    • Learn Tableau Dashboards
    • Server
  • Oracle Database
    • Introduction to Oracle Database
    • Retrieve Data using the SQL SELECT Statement
    • Learn to Restrict and Sort Data
    • Usage of Single-Row Functions to Customise Output
    • Invoke Conversion Functions and Conditional Expressions
    • Aggregate Data Using the Group Functions
    • Use Subqueries to Solve Queries
    • The SET Operators
    • Data Manipulation Statements
    • Use of DDL Statements to Create and Manage Tables
    • Other Schema Objects
    • Control User Access
    • Management of Schema Objects
    • Manage Objects with Data Dictionary Views
    • Manipulate Large Data Sets
    • Data Management in Different Time Zones
    • Retrieve Data Using Sub-queries
    • Regular Expression Support