Python with Data Analytics Course in Indore – Learn Programming & Insights with Codeez
Master Python Programming and Data Analytics with Real-World Projects
Looking to build a powerful combination of coding and data analysis skills? Codeez offers a specially curated Python with Data Analytics course in Indore that’s ideal for students, freshers, and working professionals. This dual-skill program combines the logic of Python programming with the practical application of data analysis in real-life scenarios.
Why Learn Python with Data Analytics?
Python is one of the most popular languages in tech today — and when combined with data analytics, it becomes a career-defining skillset. This course is perfect for anyone who wants to learn Python while also gaining skills in interpreting and visualizing data, creating reports, and building insights for decision-making.
What You’ll Learn in This Course
Python Programming Module:
- Introduction to Python & IDE setup
- Variables, data types, operators
- Control structures and functions
- Lists, tuples, dictionaries, sets
- File handling and exception handling
- Working with libraries like Pandas, NumPy
Data Analytics Module:
- Data cleaning and preparation
- Exploratory Data Analysis (EDA)
- Data visualization using Matplotlib and Seaborn
- Working with CSVs, Excel files, and APIs
- Introduction to SQL for data querying
- Real-world analytics use cases and mini-projects
This is one of the most practical and beginner-friendly data and analytics courses, with a strong base in Python programming.
Tools & Technologies Covered
- Python 3.x
- Pandas, NumPy, Matplotlib, Seaborn
- Jupyter Notebook / Google Colab
- SQL (MySQL/PostgreSQL basics)
- Git and GitHub
- Optional: Power BI basics (on demand)
Who Should Join?
- Students or freshers looking to build a job-ready profile
- Non-tech professionals exploring data analytics courses
- Anyone searching for Python classes in Indore with real applications
- Analysts and entry-level engineers looking to upskill in Python programming and reporting
Career Opportunities After This Course
After completing this Python with Data Analytics course, you’ll be prepared for roles like:
- Junior Data Analyst
- Python Developer (with data focus)
- MIS Executive
- Database Analyst
- Entry-level Data Scientist (with further learning)
Why Codeez for Python and Data Analytics Training in Indore?
- Dual focus: Programming + Data Interpretation
- Experienced instructors with industry project experience
- Personal mentorship and small batch sizes
- Career counseling and interview prep
- Python certification course included upon completion
Codeez is the top choice for students looking for both Python coaching in Indore and data analyst training under one roof.
Curriculum
- 13 Sections
- 117 Lessons
- 12 Weeks
- Python Fundamentals10
- Numpy12
- Pandas12
- 3.1Introduction to pandas
- 3.2Dataframe and series basics
- 3.3Creating pandas objects
- 3.4Data selecting and indexing
- 3.5Data input/output
- 3.6Exploring data
- 3.7Data cleaning & processing
- 3.8Data manipulation
- 3.9Aggregation and summarization
- 3.10Merging and joining data
- 3.11Advanced data wrangling
- 3.12Patrice work
- Matplotlib7
- Seaborn9
- Plotly2
- Tableau14
- 7.1Introduction to tableau
- 7.2Connecting to data
- 7.3Data preparation in tableau
- 7.4Basic charts and visualization
- 7.5Intermediate to advanced
- 7.6Dimension vs measures
- 7.7Filters
- 7.8Formatting and design
- 7.9Calculated fields & basic functions
- 7.10Dashboards ans stories
- 7.11Data blending & joins
- 7.12Exploring, publishing and sharing
- 7.13Bonus topics
- 7.14Patrice work
- PowerBI10
- EDA10
- Statistics4
- SQL12
- 11.1Introduction to databases & SQL
- 11.2Basic sql operations
- 11.3Sorting and limiting results
- 11.4Aggregate functions and grouping
- 11.5SQL Joins
- 11.6Data cleaning & transformation in sql
- 11.7Subqueries and nested queries
- 11.8Set operations
- 11.9Window functions(advanced but very useful)
- 11.10Views and ctes
- 11.11Data definition basics (ddl)
- 11.12Practice work
- Excel12
- 12.1Introduction to excel
- 12.2Working with data
- 12.3Data cleaning
- 12.4Essential formulas and functions
- 12.5Data cleaning in excel
- 12.6Data analysis tools
- 12.7Charts and visualization
- 12.8Importing and & exporting data
- 12.9Using formulas with tables & named ranges
- 12.10Basic dashboard building in excel
- 12.11Practice work
- 12.12Final project
- Git and Github3