Python with Data Analytics & Data Science Course in Indore – Triple Skill Mastery at Codeez
Learn Python Programming, Analyze Data & Unlock AI-Powered Career Opportunities
Looking for a complete course that blends coding, analytics, and machine learning? Codeez presents a powerful all-in-one Python with Data Analytics and Data Science course in Indore, designed to turn absolute beginners into job-ready professionals. Whether you want to build dashboards, uncover insights, or train intelligent models, this course gives you the practical edge.
Why Learn Python with Data Analytics and Data Science?
Python is the backbone of today’s data-driven world. When combined with analytics and science, it helps you extract meaningful insights, build models, and make real-world decisions. This course is perfect for those who want to learn Python, build data analytics skills, and take the first steps into data science—all in one go.
What You’ll Learn
Python Programming Basics
- Python syntax, variables, data types
- Loops, functions, conditionals
- File handling, exception handling
- Python libraries for data: Pandas, NumPy
Data Analytics Essentials
- Data collection, cleaning, and transformation
- Exploratory Data Analysis (EDA)
- Visualization with Matplotlib, Seaborn
- Reporting insights using Power BI (optional)
- Basics of SQL for structured queries
Data Science Foundations
- Understanding data science workflows
- Supervised and unsupervised machine learning
- Model evaluation & prediction
- Real-world datasets & mini-projects
- Introduction to Scikit-learn & ML algorithms
This hands-on program combines the best of data analytics courses, data science programs, and Python certification courses into one outcome-focused learning journey.
Tools & Technologies Covered
- Python 3.x
- Pandas, NumPy, Matplotlib, Seaborn
- Scikit-learn (for machine learning)
- Jupyter Notebook / Google Colab
- SQL (basic queries and joins)
- Optional: Power BI, GitHub
Who Should Join?
- Students looking for Python classes in Indore with a real-world focus
- Freshers and grads aiming for data analyst or data scientist roles
- Working professionals upskilling into AI, ML, or analytics
- Anyone searching for practical data and analytics courses or Python coaching in Indore
Career Paths You Can Explore
- Data Analyst
- Python Developer (Analytics domain)
- Junior Data Scientist
- Database Analyst
- Business Intelligence Executive
- Entry-level ML/AI Engineer (with further upskilling)
Why Codeez for Python, Data Analytics & Data Science in Indore?
- Industry-oriented curriculum built by experts
- Project-based learning with real datasets
- Personal mentorship and weekly reviews
- Batch flexibility with classroom and online options
- Highly rated data scientist classes with strong Python programming foundation
Whether you’re looking for classes for data science, Python certification, or a job-aligned course in data analyst, Codeez brings all three under one roof.
Curriculum
- 16 Sections
- 140 Lessons
- 30 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
- Statistics4
- Maths for Machine Learning4
- SQL12
- 12.1Introduction to databases & SQL
- 12.2Basic sql operations
- 12.3Sorting and limiting results
- 12.4Aggregate functions and grouping
- 12.5SQL Joins
- 12.6Data cleaning & transformation in sql
- 12.7Subqueries and nested queries
- 12.8Set operations
- 12.9Window functions(advanced but very useful)
- 12.10Views and ctes
- 12.11Data definition basics (ddl)
- 12.12Practice work
- Excel20
- 13.1Introduction to excel
- 13.2Working with data
- 13.3Data cleaning
- 13.4Essential formulas and functions
- 13.5Data cleaning in excel
- 13.6Data analysis tools
- 13.7Charts and visualization
- 13.8Importing and & exporting data
- 13.9Using formulas with tables & named ranges
- 13.10Basic dashboard building in excel
- 13.11Practice work
- 13.12Final project
- 13.13Data cleaning in excel
- 13.14Data analysis tools
- 13.15Charts and visualization
- 13.16Importing and & exporting data
- 13.17Using formulas with tables & named ranges
- 13.18Basic dashboard building in excel
- 13.19Practice work
- 13.20Final project
- Supervised Machine Learning6
- Unsupervised Machine Learning5
- Git and Github3