Data Science Foundation Training

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.

  • 16 Hours Instructor-led Training

  • Course Completion Certificate

  • Publish 1 Project in your GitHub

  • Free IBM Voucher

      For selected participants

USD 200

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.

Alignment

The course content is aligned to equip you with the knowledge to build projects using Python.

Outcome

Work on Exploratory Data Analytics of the Supermarket Chain project and publish it in your GitHub profile.

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

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Frequently Asked Questions

Faqs

This training is open for all and has no eligibility criteria nevertheless brushing concepts of basic math and statistics is preferable but not mandatory.

The IBM vouchers would enable you get certified by IBM; a globally recognized certification for the Data Science Basics course. Based on the trainers discretion10 participants of the batch are issued these vouchers.

This project will help you understand and learn the techniques to:

  • Explore and draw insights from an available data set
  • Learn feature engineering from the knowledge of data exploration
  • Finally modelling the data set

Exploratory Data Analysis can help us map the hidden relations between various attribues present in our data before modelling with a machine learning model.

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