HRDC Reg. No: 10001510655
Duration: 14 Hours (2 Days)
Course Overview
This course equips participants with essential data analytics skills using Python. It covers data cleaning, manipulation, visualization, and statistical analysis. Through hands-on coding exercises, learners will gain practical experience working with real-world datasets.
Who Should Attend?
- Data analysts and business analysts
- IT professionals and software developers
- Researchers and students interested in data analytics
- Anyone looking to improve data-driven decision-making skills
Why Choose This Course?
This HRDC-claimable course (HRDC Reg. No: 10001510655) provides a hands-on approach to Python for data analytics, using Jupyter Notebooks, Pandas, NumPy, Matplotlib, Seaborn, and SciPy.
Learning Outcomes
By the end of the course, participants will be able to:
Perform data cleaning and pre-processing tasks using Python
Analyze and manipulate data using Pandas
Visualize data effectively using Matplotlib, Seaborn, and Plotly
Understand basic statistical analysis and hypothesis testing
Pre-requisites
- Basic knowledge of Python programming
Lab Setup
- Operating System: Windows 11
- Software Tool: Jupyter Notebooks
Teaching Methodology
Instructor-led Lectures – Comprehensive explanations of concepts with real-world use cases.
Hands-on Coding Exercises – Practical implementation of concepts using Python.
Interactive Discussions – Engaging Q&A sessions to reinforce understanding.
Group Activities & Case Studies – Real-world applications to enhance problem-solving skills.
Step-by-Step Guided Projects – Application of all learned concepts in a final capstone project.