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Data Science with Python Training in Indore

Python, NumPy, Pandas, statistics, data visualisation and machine learning with scikit-learn, applied to real business datasets.

  • Live online classes
  • Classroom batches in Indore
  • End-to-end live project
  • Course certificate
  • Interview preparation
  • Placement assistance

Book a free demo: +91 62667 39095 View syllabus

About this course

Data science turns raw data into predictions and decisions. In this programme you learn the complete workflow used by data teams: collecting and cleaning data, exploring it with statistics and charts, building and evaluating machine learning models, and presenting results that a business can act on.

Who is this course for?

Graduates, freshers and working professionals who want to analyse data and build machine learning models with Python.

Course details

ModeLive online classes, or classroom batches at our Indore office
Classroom locationOffice Number 330, The Veda Building, Bhanwarkua Square, Indore, Madhya Pradesh
BatchesWeekday and weekend batches, in small groups with personal attention
ProjectComplete live project, built end to end from requirements to deployment
CertificateMakeMyCodes course completion certificate
Career supportInterview preparation, mock interviews and placement assistance
FeesCall +91 62667 39095 for current fees and offers
TrainerSudheer Singh Chouhan, 20+ years of MNC experience

Syllabus

The syllabus is covered through live coding, hands-on assignments after each module, and regular doubt-clearing sessions.

Module 1: Python for data science

  • Python essentials for analysis
  • Jupyter Notebook workflow
  • Working with files and APIs as data sources

Module 2: NumPy

  • Arrays, indexing, slicing and broadcasting
  • Vectorised computation and aggregations
  • Linear algebra basics

Module 3: Pandas

  • Series and DataFrames
  • Cleaning data: missing values, duplicates and types
  • Filtering, grouping, merging and pivot tables
  • Time series data

Module 4: Data visualisation

  • Matplotlib and Seaborn charts
  • Exploratory data analysis (EDA)
  • Telling a story with charts

Module 5: Statistics and probability

  • Descriptive statistics and distributions
  • Sampling, hypothesis testing and confidence intervals
  • Correlation and regression

Module 6: Machine learning

  • Supervised vs unsupervised learning
  • Linear and logistic regression
  • Decision trees, random forests and gradient boosting
  • Clustering with k-means

Module 7: Model building in practice

  • Feature engineering and scaling
  • Train/test split and cross-validation
  • Evaluation metrics: accuracy, precision, recall, RMSE
  • Overfitting, tuning and saving models

Module 8: SQL and presenting results

  • SQL queries for analysis
  • Building a reproducible notebook
  • Presenting insights to business stakeholders

Tools and technologies

  • Python 3
  • Jupyter Notebook
  • NumPy
  • Pandas
  • Matplotlib
  • Seaborn
  • scikit-learn
  • SQL Server
  • Git and GitHub

Projects you will build

Every learner builds a complete live project end to end: requirements, design, development, testing and deployment, the same way projects run in industry. This is the project you will present in interviews.

  • Sales forecasting (end-to-end live project): Clean several years of retail sales data, explore trends and seasonality, and build and evaluate a model that forecasts future sales.
  • Customer churn prediction: Predict which customers are likely to leave a service using classification models, and explain the most important factors.
  • Customer segmentation: Group customers by buying behaviour with clustering, to support targeted marketing.

Prerequisites

  • Basic computer knowledge and school-level mathematics
  • No prior Python experience required; Python basics are covered
  • A laptop with at least 8 GB RAM

Career opportunities

After completing this course and its project, you will be prepared for roles such as:

  • Data Scientist
  • Machine Learning Engineer (junior)
  • Data Analyst
  • Business Analyst

What you get

  • Live, interactive classes with doubt-clearing in every session, online or in our Indore classroom
  • A syllabus based on how real projects are built in MNCs
  • Hands-on assignments after every module
  • A complete end-to-end live project for your portfolio
  • Interview preparation with mock interviews and frequently asked questions
  • Placement assistance: resume and profile review and help with job applications
  • A MakeMyCodes course completion certificate

Your trainer

Frequently asked questions

Do I need a strong mathematics background?

No. School-level mathematics is enough to start. The statistics and probability needed for machine learning are taught step by step with practical examples.

Is Python taught from the beginning?

Yes. The first module covers the Python you need for data science, so you can join without prior programming experience.

Which machine learning library is used?

The course uses scikit-learn, the most widely used Python library for classical machine learning, together with NumPy and Pandas for data preparation.

Are the classes online or in a classroom?

Both. You can join live, interactive online classes from anywhere, or attend classroom batches at our Indore office near Bhanwarkua Square.

What are the fees?

Fees depend on the programme and batch. Please call +91 62667 39095 for current fees and offers.

Will I get a certificate?

Yes. You receive a MakeMyCodes course completion certificate after completing the programme and its project.

Do you provide placement assistance?

Yes. We help with resume and profile preparation, conduct mock interviews and practise frequently asked interview questions, and support you in applying for suitable job opportunities.

Will I work on a real project?

Yes. Every programme includes a complete live project, built end to end from requirements to deployment, so you are industry-ready and can explain it confidently in interviews.

Can I attend a demo class before joining?

Yes. Book a free demo class by calling +91 62667 39095. You can meet the trainer and see how the classes run before you decide.

Start learning for free

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Book a Free Demo Class

Meet the trainer, see how the Data Science with Python classes run, and get guidance on the right batch for you. Classes are available live online and at our Indore office.

Call +91 62667 39095

Or email contactus@makemycodes.com