About Python + Data Analytics Course
This Python with Data Analytics Course at Kaish Computer Institute is designed for beginners who want to master Python programming along with practical data analytics skills. You will learn how to clean, analyze, visualize and interpret datasets using industry-standard libraries.
The course focuses on real-world analytics tasks like handling missing data, merging datasets, filtering, grouping, visual plotting and generating insights.
By the end, you will be able to perform full data analysis workflows using Python.
Course Objectives
- Teach Python basics for Data Analytics.
- Build strong skills in Numpy & Pandas.
- Train students in Data Cleaning & Formatting.
- Teach Data Visualization using Matplotlib.
- Perform Exploratory Data Analysis (EDA).
- Prepare students for entry-level Data Analyst roles.
Course Syllabus
- Python Basics – Syntax, Loops, Functions
- Working with Lists, Dicts, Tuples
- File Handling
- NumPy – Arrays, Operations, Slicing
- Pandas – DataFrames, Series
- Data Cleaning – Missing Values, Duplicate Handling
- Data Wrangling – Merge, Join, GroupBy
- Data Visualization – Matplotlib Plots
- Exploratory Data Analysis (EDA)
- Real Projects using Sales, HR & Finance Data
Who Can Join?
- Students (12th / Graduate)
- Beginners in Python programming
- Job Seekers entering Data Analytics
- Professionals switching from non-IT fields
No prior coding knowledge required.
Course Duration
- 2 Months – Regular
- 3 Months – Advanced + Projects
Includes real datasets & practical lab sessions.
What You Will Learn
- Python for data analysis & automation
- Clean & transform raw data
- Create visual reports & graphs
- Analyze business datasets
- Perform data insights & storytelling
Career Options After Python + Data Analytics
- Data Analyst (Junior)
- Python Analyst
- Reporting Analyst
- MIS Executive
Job assistance & interview preparation included.
Certification
You will receive a Python + Data Analytics Certification after completing projects and assessments.
FAQs – Python + Data Analytics Course
1. Is Python required for Data Analytics?
Yes. Python is the most widely used language in Data Analytics today.
2. Do you provide hands-on projects?
Yes. You will work on sales, finance, HR, and e-commerce datasets.
3. What libraries will I learn?
Pandas, NumPy, Matplotlib — the core tools of analytics.
4. Do I need coding experience?
No. Beginners can easily understand and learn Python.
5. Do you offer job assistance?
Yes. Resume writing + interview preparation included.
