--- title: "Data Science with Python Training in Bangalore" url: https://mnptechnologies.com/data-science-with-python-training-bangalore/ description: "Learn Data Science with Python in Bangalore with NumPy, Pandas, visualisation and machine learning through practical, trainer-led training." --- # 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](https://mnptechnologies.com/python-training-marathahalli/), 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. [Book a Free Demo](https://mnptechnologies.com/contact-us/)[View Full Syllabus](https://mnptechnologies.com/data-science-with-python-training-bangalore/#syllabus) - Real time industry trainers - Certificate on completion - Classroom + online available - Flexible batch timings **90%+** Placement Assistance Rate **15+** Courses Across 6 Domains **15+** Years Training IT Professionals **5,000+** Students Trained Industry Recognition ## 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. Tools & Technologies ## 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. Python Programming (Jupyter Notebook, Anaconda)NumPy, Pandas, and Matplotlib/SeabornSQL for Data AnalysisStatistics and Probability for Data ScienceScikit-learn for Machine LearningSupervised and Unsupervised Learning AlgorithmsDeep Learning Frameworks (TensorFlow/Keras Overview)Data Visualization (Power BI/Tableau Overview)Generative AI and LLM Concepts (Overview) Course Curriculum ## 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. **Module 1** ### Introduction to Python Programming - Python fundamentals: variables, data types, and operators - Sequences and file operations - Functions, OOPs, modules, errors, and exceptions **Module 2** ### 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 **Module 3** ### SQL for Data Science - [SQL](https://mnptechnologies.com/sql-dba-training-bangalore/) fundamentals: SELECT, WHERE, JOIN, GROUP BY - Querying and extracting data for analysis - Connecting SQL databases with Python **Module 4** ### Statistics for Data Science - Descriptive statistics: mean, median, mode, variance, standard deviation - Probability concepts and distributions - Inferential statistics: hypothesis testing and confidence intervals **Module 5** ### Exploratory Data Analysis (EDA) - Data cleaning and preprocessing techniques - Data manipulation and transformation - Uncovering patterns and relationships in data through visualization **Module 6** ### 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 **Module 7** ### Supervised Learning - Regression analysis: Linear and Logistic Regression - Classification algorithms: Decision Tree, Random Forest, KNN - Model evaluation metrics: accuracy, precision, recall, F1-score **Module 8** ### Unsupervised Learning and Dimensionality Reduction - Clustering algorithms: K-Means and Hierarchical Clustering - Dimensionality reduction techniques (PCA overview) - Association rules mining and recommendation systems basics **Module 9** ### 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 **Module 10** ### Introduction to Deep Learning - Neural networks and how they work - Introduction to TensorFlow/Keras - Building and training a basic neural network model **Module 11** ### 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 **Module 12** ### 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 Is This for You? ## Who Should Join This Data Science with Python Course **Freshers with any degree background** Graduates looking for an entry point into one of the highest paying tech fields, no prior coding required. **Non-technical professionals** Professionals from commerce, arts, or management backgrounds can succeed through a structured path that starts with Python fundamentals and builds up to machine learning. **Software developers** Developers looking to specialize in machine learning and AI-driven applications. **Data analysts and BI professionals** Analysts looking to move from reporting into predictive modeling and machine learning. **Working professionals switching domains** Professionals from finance, operations, or other technical backgrounds looking to move into data science. **Freelancers and independent consultants** Professionals looking to upskill for data science freelance or contract opportunities. Flexible Batch Options ## 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. **Weekday Batch** ### 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 **Weekend Batch** ### 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 **Live Online Available Across India** Same trainer, same curriculum, same batch cap (max 20). No pre recorded videos: live coding and model building demos, Q&A, and hands on project work in every session. Your Mentors ## 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 Consultant** 10+ years in data science, predictive modeling, and applied machine learning across industries - **Machine Learning and Statistics Specialist** Expert in supervised/unsupervised learning, model evaluation, and statistical analysis - **Deep Learning and AI Expert** Specializes in neural networks, TensorFlow/Keras, and emerging Generative AI applications Placement Support ## 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 Student Success Stories ## 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. ### Anjali Sahu Alchemy Techsol India Thanks to the hands-on **SAP FICO** training and incredible placement support at **MNP Technologies** . This comprehensive program gave me the exact skills and confidence I needed to successfully land my dream career. ### Bharath J Sumadhura The **SAP MM** training at **MNP Technologies** helped me gain practical knowledge, build confidence and secure a great opportunity. I’m grateful for the trainers and placement support. ### Ashlesha Reddy CSS Corp Pvt Ltd Enrolling in **MNP Technologies** for **AWS & DevOps** was the best decision for my career, thanks to the incredibly supportive trainers who went above and beyond to solve every technical problem. ### Durga Bhavani Sumadhura MNP’s live training and expert mentors gave me the practical **SAP FICO** skills needed to stand out. Thanks to their dedicated placement support and mock interviews, I easily secured my breakthrough corporate role! ### G Manisha Naidu BSOL System (P.V.T) The **AWS & DevOps** training at **MNP Technologies** gave me the hands-on experience and confidence I needed to grow in my career. Thank you for the great support. ### Mohan Rama Chandrareddy Sumadhura The live project training in **SAP FICO** at **MNP Technologies** gave me a massive corporate advantage and hands-on confidence. I am incredibly thankful to MNP and their brilliant placement team for helping me. ### Nadigatla Sai Praveen Sumadhura The live training and case studies at **MNP Technologies** made complex **SAP MM** modules incredibly easy to master. Thanks to their consistent mock interviews and dedicated placement support, I built the confidence needed to clear my corporate selection process smoothly! ### Syed Junaid Ahammad Sumadhura MNP’s live training and hands-on projects gave me a deep, practical understanding of **SAP MM** . Their dedicated placement support and mock interview sessions were excellent, helping me confidently clear my rounds and secure my job! ### Monika Course: AWS & DevOps Enrolling in the **AWS & DevOps** course at MNP Technologies was a game-changer for me. The hands-on training with real-time scenarios gave me the exact technical skills and confidence I needed to transition into the cloud industry. ### Philips Course: AWS & DevOps Thanks to the hands-on **AWS & DevOps** training and mentorship I received, I gained the confidence and real-world skills needed to successfully transition into a cloud and DevOps engineering role. ### Sweta Deloitte · AWS & DevOps The practical exposure I got during my **AWS & DevOps** training at MNP Technologies was crucial in helping me step confidently into my role at Deloitte. The trainers focus on real-world enterprise scenarios that make all the difference. ### Yogireddy Course: AWS & DevOps MNP Technologies doesn't just teach **AWS & DevOps** ; they make you career-ready. Grateful to the entire team for the excellent mentorship and continuous support throughout my job hunt! ### Madhusudan Course: SAP FICO MNP Technologies doesn't just teach **SAP FICO** ; they make you career-ready. Grateful to the entire team for the excellent mentorship and continuous support throughout my job hunt! ### Musthak Course: DevOps ### Markappa Course: SAP MM [View All Reviews](https://mnptechnologies.com/testimonials/) ## 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. [Book a Free Demo](https://mnptechnologies.com/contact-us/)