Data Science with Python Training in Marathahalli, Bangalore
Build Practical Data Science Skills With Python, Machine Learning & AI
Learn to work with data and build predictive models using Python, Statistics, NumPy, Pandas, Machine Learning, Deep Learning, and Data Visualization. Develop practical skills through hands-on coding, real-time projects, data analysis exercises, and industry-relevant case studies that take you from data preparation and visualization to machine learning and deep learning workflows.
Real time industry trainers
Certificate on completion
Classroom + online available
Flexible batch timings
Where Data Science with Python Skills Take You
Data Science isn't tied to one industry or one type of company. Finance, healthcare, technology, and retail all rely on Data Scientists for predictive modeling, data analysis, and deriving insights from complex datasets, which means the skills you build here transfer across sectors, not just one job market. This course is structured around the complete data science workflow, from Python fundamentals through statistics, machine learning, and deep learning, so what you learn maps to what Data Scientists actually do on real projects.
Runs across every industry
Finance, healthcare, technology, and retail all rely on Data Scientists to extract value from data, so your skills aren't locked to one sector.
Covers the complete data science stack
Curriculum spans Python programming, statistics, machine learning, deep learning, and data visualization, along with an introduction to Generative AI and LLM concepts, reflecting how the field has evolved and what employers now expect.
Enterprise recognized skillset
Used by global enterprises and Indian conglomerates alike, making the skill portable across company size and geography.
Salary data, sourced
Fresher entry around ₹4.5 to 7 LPA, moving to ₹9 to 16 LPA within 1 to 2 years and ₹17 to 28 LPA with 2 to 4 years of experience.
What you'll work with
Build practical skills with the programming languages, libraries, and tools commonly used for data analysis, machine learning, visualization, and AI.
Module by Module Data Science with Python Syllabus
This Data Science with Python course in Bangalore covers everything from Python fundamentals to machine learning, deep learning, and modern AI concepts, structured across 12 modules with hands-on project work throughout.
Introduction to Python Programming
- Python fundamentals: variables, data types, and operators
- Sequences and file operations
- Functions, OOPs, modules, errors, and exceptions
Python for Data Handling
- Introduction to NumPy for numerical computing
- Introduction to Pandas: DataFrames, filtering, and aggregation
- Introduction to Matplotlib and Seaborn for data visualization
SQL for Data Science
- SQL fundamentals: SELECT, WHERE, JOIN, GROUP BY
- Querying and extracting data for analysis
- Connecting SQL databases with Python
Statistics for Data Science
- Descriptive statistics: mean, median, mode, variance, standard deviation
- Probability concepts and distributions
- Inferential statistics: hypothesis testing and confidence intervals
Exploratory Data Analysis (EDA)
- Data cleaning and preprocessing techniques
- Data manipulation and transformation
- Uncovering patterns and relationships in data through visualization
Introduction to Machine Learning
- What is Machine Learning, and types of ML (supervised, unsupervised, reinforcement)
- The machine learning workflow: train-test split, model fitting, evaluation
- Introduction to Scikit-learn
Supervised Learning
- Regression analysis: Linear and Logistic Regression
- Classification algorithms: Decision Tree, Random Forest, KNN
- Model evaluation metrics: accuracy, precision, recall, F1-score
Unsupervised Learning and Dimensionality Reduction
- Clustering algorithms: K-Means and Hierarchical Clustering
- Dimensionality reduction techniques (PCA overview)
- Association rules mining and recommendation systems basics
Time Series Analysis and Forecasting
- Introduction to time series data and components
- Forecasting techniques for trend and seasonality
- Applying time series methods to business use cases
Introduction to Deep Learning
- Neural networks and how they work
- Introduction to TensorFlow/Keras
- Building and training a basic neural network model
Data Visualization and BI Tools
- Overview of Power BI/Tableau for business reporting
- Building dashboards to communicate data science findings
- Presenting insights effectively to non-technical stakeholders
Generative AI, LLMs, and Real-Time Capstone Project
- Introduction to Generative AI applications and Large Language Models (LLMs)
- Overview of tools like ChatGPT in a data science workflow
- End to end capstone project: building a machine learning model to solve a real-world business problem
Who Should Join This Data Science with Python Course

Choose a Batch That Fits Your Schedule
This Data Science with Python training in Bangalore with placement support is offered across multiple batch formats, all covering the same curriculum with hands-on project work.
Ideal for freshers and full time learners.
- 2 to 3 hrs/day · Mon to Fri
- Morning and evening slots
- 10 to 12 weeks total
- Max 20 students
Best suited for working professionals.
- 3 to 4 hrs/session · Sat to Sun
- No clash with office hours
- 12 to 16 weekends total
- Max 20 students
Trained by Industry Experts, Not Just Instructors
MNP's Data Science trainers bring over 10 years of combined analytics and data science experience across Python, statistics, machine learning, and deep learning. Every session is built around real business scenarios and the kind of questions that come up in Data Scientist interviews.
Data Science Lead Consultant10+ years in data science, predictive modeling, and applied machine learning across industries
Machine Learning and Statistics SpecialistExpert in supervised/unsupervised learning, model evaluation, and statistical analysis
Deep Learning and AI ExpertSpecializes in neural networks, TensorFlow/Keras, and emerging Generative AI applications
From Learning to Your Data Science Career
Our Data Science with Python training in Bangalore with placement support includes:
Resume building with Data Science specific templates
Mock technical interviews with real Data Science interview questions
LinkedIn profile optimization
Direct referrals to hiring partners actively seeking Data Scientists and ML Engineers
Weekly job notifications for Data Science and Machine Learning roles in Bangalore
Offer letter and salary negotiation guidance
What Our Data Science with Python Students Say
These are real students who trained at MNP Technologies and went on to secure Data Scientist and Machine Learning Engineer roles across Bangalore.
Frequently Asked Questions
What is Data Science with Python?

Ans: Data Science with Python involves using Python programming, along with statistics and machine learning techniques, to extract insights from data, build predictive models, and support data-driven decision making across business functions.
Do I need a coding background to join this Data Science course?

Ans: There are no formal prerequisites, though a basic understanding of programming is beneficial. The course starts with Python fundamentals before moving into statistics and machine learning, so non-programmers can follow along with structured, hands-on training.
Can non-technical professionals from commerce or management backgrounds learn Data Science?

Ans: Yes. Non-technical professionals can succeed through a structured learning path that starts with basic Python fundamentals and statistics, then gradually advances to machine learning, making this course accessible to learners from any educational background.
What is the difference between Data Science and Machine Learning?

Ans: Data Science is the broader field covering the entire workflow, data collection, cleaning, analysis, visualization, and communicating insights. Machine Learning is a subset of data science focused specifically on building algorithms that learn patterns from data to make predictions, which this course covers as one part of the larger data science skill set.
What kind of job roles can I apply for after this course?

Ans: Graduates typically enter the market as Data Scientists, Machine Learning Engineers, Data Analysts, and Business Analysts, working on tasks like predictive modeling, data analysis, and deriving insights across industries like finance, healthcare, and technology.
Will I build real machine learning models during this course?

Ans: Yes. Practical mastery requires hands-on project work throughout every module, culminating in an end to end capstone project where you build a machine learning model to solve a real-world business problem.
What is the starting salary a fresher can expect after this course?

Ans: An entry level Data Scientist or Junior Data Analyst can expect a starting annual package ranging from ₹4.5 Lakhs to ₹7 Lakhs per annum (LPA), growing quickly with hands-on project experience.
What is the duration of the Data Science with Python program at MNP Technologies?

Ans: Given the breadth of this curriculum, covering Python, statistics, machine learning, and deep learning, the program runs longer than our shorter, single-topic courses. Exact duration depends on batch type and pace, confirmed at the time of enrollment.
Is there Data Science with Python training in Marathahalli?

Ans: Yes, MNP Technologies conducts classroom Data Science with Python training in Marathahalli, Bangalore, alongside live online Data Science with Python training available across India, both capped at a maximum of 20 students.

Turn Your Python Skills Into a Data Science Career
Master data analysis, machine learning, and AI concepts with industry-focused training.
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