Data Science Foundation Training-test

99k learners

The Data Science foundation course provides you with an overall landscape of Data Science and also introduces you to analysing data using Python. The course covers concepts on probability, statistics fundamentals, hypothesis testing & data sets. By the end of the training you will be able to build a project and publish on your GitHub.

  • Course Completion Certificate

  • 16 Hours Instructor-led Training

  • 1 Project in your GitHub

  • Free IBM Voucher

    For selected participants

Group Training

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Course Overview

The 2 day live instructor-led workshop by a Data Scientist is suitable from freshers to seasoned professionals. The training is a perfect mix of theoretical and practical sessions preparing you to analyse data sets using Python.

This training session will help you:

  • Understand the importance of Data Science & Applications
  • Learn the core concepts of probability and statistics for Data Science
  • Get acclimatized with R & R studio
  • Install Python software and get introduced to various Python IDEs
  • Work on data sets & analyse it
  • Implement & execute projects using Python

Course Outline

skills

Learn the foundation mathematical, statistical & programming skills of Data Science

Data Science Tools & Technologies
Life Cycle of a Data Science Projects
Applications of Data Science
Terminologies in Data Science
Data Science Overview
Hypothesis Testing
Probability Distributions
Descriptive Statistics
Measures of Dispersion
Measures of Central Tendency
Probability for Data Science
Variable Identification
Different Variable Data Types
Introduction to dataset
R packages & studio
Basic code execution in R shell
Installation of R software
What is R programming
Introduction and code execution in Spyder/Jupyter
Various IDE options for Python
Basic code execution in Python shell
Installation of Python software
What is Python programming

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