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 IT Career Swish 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 Masters 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.
What are the prerequisites for taking up a Data Science Master Program?
Basic knowledge of statistics
Basic understanding of any programming language
Any Graduate/Any Post-Graduate
Freshers/Working Professionals
Course Duration:
9-10 months
Curriculum
Data Science Masters Program
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 Kernal
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
