Python with Data Science Course in Indore – Learn Coding & AI Skills with Codeez
Master Python Programming and Launch a Career in Data Science
Want to learn one of the most powerful programming languages and apply it in the field of AI and analytics? Codeez offers a job-focused Python with Data Science course in Indore that helps you build a strong programming foundation while diving deep into data science tools, techniques, and real-world problem-solving.
Why Learn Python with Data Science?
Python is the most preferred language in the data science and AI world. It’s beginner-friendly, flexible, and packed with powerful libraries. Combining it with a structured data science course opens up high-demand career paths in analytics, AI, ML, and more. This integrated course is ideal for students and professionals who want to master both.
What You’ll Learn in This Course
Python Programming Module:
- Python setup, syntax, and variables
- Control structures, functions, and loops
- Lists, dictionaries, and file handling
- Error handling and working with modules
- Introduction to Pandas and NumPy for data manipulation
Data Science Module:
- Fundamentals of data science programs and real-world use cases
- Exploratory Data Analysis (EDA)
- Data visualization using Matplotlib and Seaborn
- Introduction to Machine Learning: Supervised & Unsupervised Learning
- Model building using Scikit-learn
- Mini data science projects using Python
This is a complete Python course + data science program, ideal for those aiming to become job-ready data professionals.
Tools & Technologies Covered
- Python 3.x
- Pandas, NumPy, Matplotlib, Seaborn
- Scikit-learn
- Jupyter Notebook / Google Colab
- Git, GitHub, and basic command-line tools
Who Should Join?
- Students looking for Python classes in Indore with a data science focus
- Professionals wanting to enter AI/ML careers
- Engineers, analysts, or freshers seeking data scientist classes
- Anyone interested in practical, beginner-to-advanced classes for data science
Career Paths After This Course
Upon completing this course in data science, you’ll be ready to pursue roles such as:
- Junior Data Scientist
- Python Developer (Data Focused)
- Data Analyst
- ML Engineer (with continued upskilling)
- Research Associate (Data Science Projects)
Why Choose Codeez for Python and Data Science in Indore?
- Dual-focused training: Python + Data Science
- Industry-ready projects & problem-solving sessions
- Certification on successful course completion
- Individual mentorship and small batch sizes
- Highly rated Python coaching in Indore with data science integration
Codeez is trusted by learners across Indore for offering practical, result-oriented data science courses and Python programming training under one roof.
Curriculum
- 15 Sections
- 136 Lessons
- 22 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
- 3.12Pratice 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
- 7.14Pratice work
- PowerBI10
- EDA10
- Maths for Machine Learning4
- 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
- Excel20
- 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
- 12.13Data cleaning in excel
- 12.14Data analysis tools
- 12.15Charts and visualization
- 12.16Importing and & exporting data
- 12.17Using formulas with tables & named ranges
- 12.18Basic dashboard building in excel
- 12.19Practice work
- 12.20Final project
- Supervised Machine Learning6
- Unsupervised Machine Learning5
- Git and Github3