90%+Placement Assistance Rate
Data Analytics Training in Bangalore
Become a Job-Ready Data Analyst with AI-Powered Skills
Excel, SQL, Python, Power BI, Statistics, and fundamental Machine Learning, integrated with AI tools at every stage, with real time, hands on projects and a capstone case study. Curriculum shaped by 15+ years of MNP's technical training experience, with placement assistance and a max batch size of 20.
Real-time industry trainers- Certificate on completion
- Classroom + online available
- Flexible batch timings
15+Courses Across 6 Domains
15+Years Training IT Professionals
5,000+Students Trained
Industry Recognition
Build Data Analytics Skills That Work Across Industries
Data Analytics isn't tied to one industry or one type of company. Retail, e-commerce, BFSI, IT services, and manufacturing all rely on data driven decision making, which means the skills you build here transfer across sectors, not just one job market. This course is structured around the full analytics stack, Excel, SQL, Python, and Power BI, with AI tools woven into every module, so what you learn maps to how analytics teams actually work today, not just theory.
Runs Across Every Industry
Retail, e-commerce, BFSI, IT services, and manufacturing all rely on data analysts, so your skills aren't locked to one sector.
Built for the AI Era of Analytics
Every module includes AI integration, from formula generation and SQL debugging with ChatGPT to Power BI Copilot and AI assisted EDA, reflecting how analytics teams work today.
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 ₹3.5 to 5.5 LPA, moving to ₹6 to 10 LPA within 1 to 2 years and ₹11 to 18 LPA with 2 to 4 years of experience.
Tools & TechnologiesWhat You'll Work With
Every tool in this course is directly mapped to what Bangalore employers ask for in job descriptions.
Course Curriculum
Your Step-by-Step Path to Becoming a Data Analyst
This Data Analytics course in Bangalore covers the complete analytics stack, from Excel and SQL to Python, Power BI, statistics, and machine learning fundamentals, with AI integration built into every week and a project at the end of most modules.
Week 1: Excel for Data Analytics (Part 1)
- Excel Fundamentals: introduction to the Data Analytics lifecycle, role of a Data Analyst, understanding business data, Excel interface and productivity features, data types in ExcelnData Cleaning and Preparation: remove duplicates, text to columns, flash fill, find and replace, data validation, conditional formattingnEssential Formulas: SUM, AVERAGE, MIN, MAX, COUNT, COUNTA, COUNTIF, SUMIF, SUMIFS, IF, IFS, AND, OR, nested IFnAI Integration: using ChatGPT for formula generation, formula explanation using AI, cleaning dirty data with AI assistance
Week 2: Excel for Data Analytics (Part 2)
- Advanced Excel: VLOOKUP/HLOOKUP/XLOOKUP, INDEX + MATCH, FILTER, SORT, UNIQUEnPivot Tables and Reporting: pivot tables, pivot charts, slicers, interactive reportsnPower Query Basics: importing data, data transformation, merging queries, appending datanAI Integration: AI assisted dashboard designnMini Project: Retail Sales Dashboard in Excel
Week 3: SQL for Data Analytics (Part 1)
- Database Fundamentals: database concepts, RDBMS vs. DBMS, tables, rows, columns, primary and foreign keysnSQL Basics: SELECT, WHERE, ORDER BY, DISTINCT, LIMIT/TOPnFiltering and Aggregation: COUNT, SUM, AVG, MIN, MAX, GROUP BY, HAVINGnAI Integration: SQL query generation using AI, SQL error debugging using ChatGPTnAssignment: Business Query Challenges
Week 4: SQL for Data Analytics (Part 2)
- Joins: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN, SELF JOINnAdvanced SQL: subqueries, CTEs, CASE statements, window functionsnAnalytical SQL: RANK, DENSE_RANK, ROW_NUMBER, running totals, cohort analysis basicsnAI Integration: converting business questions to SQL, AI assisted query optimizationnProject: E-Commerce SQL Analysis
Week 5: Power BI for Data Analytics
- Power BI Fundamentals: Power BI ecosystem, data sources, data importnData Modeling: relationships, star schema, snowflake schemanPower Query: data cleaning and transformationnDAX: calculated columns, measures, time intelligencenDashboarding: KPI cards, drill through, tooltips, bookmarks, publishing reportsnAI Integration: Power BI Copilot, AI visuals, AI based insight narrativesnProject: Executive Sales Dashboard
Week 6: Statistics for Data Analytics
- Descriptive Statistics: mean, median, mode, variance, standard deviation
- Probability Basics: probability concepts, conditional probability, introduction to Bayes' concept
- Data Distributions: normal distribution, skewness, kurtosis
- Inferential Statistics: sampling, confidence intervals, hypothesis testing
- Correlation and Regression: correlation analysis, linear regression concepts
- AI Integration: AI assisted statistical interpretation, explaining statistical results with LLMs
- Project: Customer Satisfaction Statistical Analysis
Week 7: Python for Data Analytics (Part 1)
- Python Fundamentals: variables, data types, operators, input and outputnControl Structures: if-else, loops, functionsnData Structures: lists, tuples, dictionaries, setsnFile Handling: CSV files, Excel filesnAI Integration: AI coding assistant, prompt engineering for PythonnAssignment: Data Cleaning and Analysis of Data
Week 8: Python for Data Analytics (Part 2)
- NumPy: arrays, vectorized operations, mathematical functionsnPandas: DataFrames, filtering, aggregation, GroupBy, merge, pivotnData Visualization: Matplotlib, Seaborn, business visualizationsnFundamentals of Machine Learning: what is Machine Learning, types of ML, train-test split, feature engineering basicsnAlgorithms: Linear Regression, Logistic Regression, Decision Tree, Random ForestnAI Integration: using Generative AI for EDA, automated insight generation, building analytics reports with AInCapstone: End-to-end Data Analytics Capstone Project
Is This for You?
Who Should Join This Data Analytics Course
Aspiring Data AnalystsAnyone looking to build a career in business data analysis from the ground up.
Business Analysts and MIS ExecutivesProfessionals looking to add SQL, Python, and Power BI to their reporting toolkit.
MBA StudentsStudents looking to strengthen their analytics skill set alongside their business education.
Freshers with Any Degree BackgroundGraduates who want to enter the data analytics space directly, no prior coding required.
Working Professionals Switching DomainsProfessionals from finance, operations, or support roles looking to move into analytics.
Freelancers and Independent ConsultantsProfessionals looking to upskill for data analytics freelance or contract opportunities.Flexible Batch Options
Choose a Batch That Fits Your Schedule
This Data Analytics training in Marathahalli Bangalore with placement support is offered across multiple batch formats, all covering the same 8 week, approximately 160 hour curriculum with hands on projects.
Ideal for freshers and full time learners.
- 2 to 3 hrs/day · Mon to Fri
- Morning and evening slots
- 8 weeks total
- Max 20 students
Best suited for working professionals.
- 4 to 5 hrs/session · Sat to Sun
- No clash with office hours
- 10 to 12 weekends total
- Max 20 students
Live Online Available Across IndiaSame trainer, same curriculum, same batch cap (max 20). No pre-recorded videos: live Excel, SQL, Power BI, and Python demos, Q&A, and hands on project work in every session.
Trained by Industry Experts, Not Just Instructors
MNP's Data Analytics trainers bring over 15 years of combined analytics and training experience across Excel, SQL, Power BI, Python, and applied statistics. Every session is built around real business scenarios and the kind of questions that come up in data analyst interviews.
Data Analytics Lead Consultant15+ years in business analytics, reporting, and dashboard design across industries- SQL and Power BI SpecialistExpert in advanced SQL, DAX, data modeling, and executive dashboard design
- Python and Machine Learning ExpertSpecializes in Pandas, data visualization, and fundamental ML algorithms for predictive analytics
From Data Analytics Training to Career Opportunities
Our Data Analytics training in Bangalore with placement support includes:
- Resume building with data analytics specific templates
- Mock technical interviews with real data analyst interview questions
- LinkedIn profile optimization
- Direct referrals to hiring partners actively seeking data analysts
- Weekly job notifications for data analytics, business analytics, and BI roles in Bangalore
- Offer letter and salary negotiation guidance
Student Success Stories
What Our Data Analytics Students Say
These are real students who trained at MNP Technologies and went on to secure data analyst and business analytics 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!
Musthak
Course: DevOps
Markappa
Course: SAP MM
Frequently Asked Questions
Do I need a coding background to join this Data Analytics course?
Ans: No. The program starts with Excel fundamentals in Week 1 and builds up through SQL, Power BI, statistics, and Python, so learners without any prior coding experience can follow along.
What is the eligibility for MBA students, freshers, and working professionals?
Ans: Anyone with a genuine interest in data and business decision making is eligible, including MBA students, MIS executives, business analysts, freshers from any stream, and working professionals looking to switch into analytics.
How is AI actually used in this course, and is it just a buzzword?
Ans: AI is integrated into every week of the curriculum with practical, hands on use, including generating and explaining Excel formulas with ChatGPT, debugging and optimizing SQL queries with AI, using Power BI Copilot for dashboard insights, interpreting statistical results with LLMs, and using generative AI for exploratory data analysis and report building in Python.
What is the difference between this course and a pure Python or SQL course?
Ans: A standalone SQL or Python course typically teaches one tool in isolation. This Data Analytics course covers the complete analytics stack, Excel, SQL, Power BI, Python, and statistics, together, so you can move data between tools the way analysts do on the job, with AI support built in throughout.
What kind of job roles can I apply for after this course?
Ans: Graduates typically enter the market as Junior Data Analysts, Business Analysts, MIS Executives, Reporting Analysts, and Power BI Developers.
Will I get hands-on project experience during this course?
Ans: Yes. The program includes a mini project (Retail Sales Dashboard in Excel), multiple assignments and projects (E-Commerce SQL Analysis, Executive Sales Dashboard, Customer Satisfaction Statistical Analysis), and an end to end Data Analytics Capstone Project.
What is the starting salary a fresher can expect after this course?
Ans: An entry level Data Analyst can expect a starting annual package ranging from ₹3.5 Lakhs to ₹5.5 Lakhs per annum (LPA), growing quickly with hands-on project experience.
What is the duration of the Data Analytics program at MNP Technologies?
Ans: The program runs across 8 weeks, approximately 160 hours, depending on batch type and pace.
Build Your Skills. Prepare for Interviews. Move Toward Your Next Role.
Get personalized career support, interview preparation, resume guidance, and access to relevant data analytics job opportunities.
