Data Analyst Course in Nagpur
Start AI Driven data analytics career in Nagpur with TechnoGeeks’ hands-on online Data Analyst Course in Nagpur. If you are freshers, working professionals, and career switchers, with a non-technical background, this analyst program is best.
No-cost EMI available
Data Analyst Course in Nagpur | SQL, Python, Power BI, AI & Placement Support
What is Data Analyst, What Data Analyst do and How to start ?
If you want to understand what a data analyst is or what a data analyst does, they are strategic professionals who work is like transforming raw enterprise datasets into actionable corporate decisions. A Data Analyst works with databases, cleans regular records, organizes data, calculates important business numbers, and creates interactive dashboards for managers so they can easily understand.
If you are looking for a career in the data analytics field. And searching for a data analyst course online in Nagpur or data analyst course near me then Technogeeks is the right choice for you. Where you learn from starch to advance level .
Data Analyst Roles and Responsibilities :
Data Extraction and Ingestion: Executing SQL for data analysts to query complex databases and finding structured data for business.
Statistical Modeling: Applying descriptive and inferential statistics to evaluate core KPIs and forecast future market trends.
Business Intelligence: Creating visual reports and dashboards with help of Power BI and Tableau Desktop.
AI-Assisted Workflows: With help of Gen AI accelerating exploratory data analysis (EDA), code generation, and automated data summarization processes.
Why Choose TechnoGeeks for a Data Analytics Course in Nagpur?
Finding a job ready Data Analyst Course Near Me in Nagpur requires a balance of regular practice and strategic career guidance. TechnoGeeks data analyst roadmap created by senior IT experts so it will help students to build data analyst skills.
16+ Years Trainer Experience: Learn directly from IT professionals and lead data analysts.
Comprehensive Practice: 75 Hours of live mentorship combined with 60 Hours of guided assignments and 40 Hours of real-time projects.
Generative AI Integration: Master prompt engineering for automated code debugging, query generation, and rapid dataset reporting.
100% Placement Assistance: End-to-end support featuring portfolio development, ATS resume prep, and technical mock interviews, Separate doubt sessions.
Flexible Learning Modes: Live online training in Nagpur.
Technical Skill Matrix
| Skill Domain | Core Tools & Technologies |
|---|---|
| Data Querying | SQL Joins, Subqueries, CRUD Operations |
| Data Wrangling | Python 3, Pandas, NumPy, Data Cleaning Libraries |
| Business Intelligence | Power BI, Tableau, Advanced Excel |
| Statistical Analysis | Descriptive Statistics, Probability, Hypothesis Testing |
| AI Automation | ChatGPT, GitHub Copilot, Prompt Engineering, Claude, Gemini |
Real-World Data Analyst Projects
Companies evaluate candidates through capabilities through practical projects done by candidates. At Technogeeks Data Analytics Training in Nagpur you will learn practical things through projects. Which helps you gain real time knowledge about how project flow works.
| Sr. | Project / Practical Project | Technology |
|---|---|---|
| 1 | E-Commerce Dataset Analysis | Python, Pandas |
| 2 | Employee Salary Data Analysis | Python, Pandas |
| 3 | Finance Credit Score Analysis & Visualization | Python, Pandas, Matplotlib, Seaborn |
| 4 | AI-Assisted Business Dataset Analytics | Generative AI, Data Cleaning, Analysis & Reporting |
| 5 | Capstone Project | Python / Data Analytics / Visualization |
| 6 | Major Real-Time Project 1 | Data Analytics |
| 7 | Major Real-Time Project 2 | Data Analytics |
| 8 | Python & Web-Based Project Development | Python / Web Development |
Career Guidance, Data Analyst Salary Trends, and Job Opportunities
As you enroll for a data analytics course in Nagpur which opens careers for you across Maharashtra's expanding IT hubs, analytics setups, and logistics centers.
Data Analyst Salary Structure in India
If you want to understand how much a data analyst earns and the average salary of a data analyst in India helps in setting clear career trajectory goals:
| Experience Level | Average Annual Salary (INR) | Typical Monthly Compensation |
|---|---|---|
| Data Analyst Salary for Freshers | ₹3.5 LPA – ₹6.0 LPA | ₹28,000 – ₹45,000 / month |
| Mid-Level Data Analyst (2–5 Yrs) | ₹6.5 LPA – ₹10.5 LPA | ₹50,000 – ₹80,000 / month |
| Lead / Senior Data Analyst | ₹12.0 LPA – ₹20.0+ LPA | ₹95,000+ / month |
Resource - Glassdoor
Note: Generally salaries totally depend on domain expertise, technical proficiency in Python and AI tools, and employment location.
Target Career Roles
As you complete data analyst course in nagpur then you can apply for multiple job roles :
- Junior Data Analyst / Data Analyst Fresher
- Power BI / Tableau Data Analyst
- Financial Data Analyst
- IT Data Analyst
- Work From Home Data Analyst / Freelance Data Analyst
Placement Support & Career Preparation
TechnoGeeks provides complete end-to-end career services to make candidates ready for job :
- 1-on-1 Resume Optimization: Build a data analyst resume for freshers or working professionals targeting analytics recruiters.
- Mock Interviews: Do practice SQL questions for data analyst interviews, Data Analytics and Excel interview questions, and Python pair programming with experienced trainers.
- Portfolio Showcase: Work on real-time projects and interactive visual dashboards directly to GitHub and Kaggle.
- Direct Hiring Connections: Get placement drives across Nagpur, Pune, Mumbai, and remote locations across India.
Data Analyst vs. Business Analyst vs. Data Scientist
| Parameter | Data Analyst | Business Analyst | Data Scientist |
|---|---|---|---|
| Primary Focus | Work like first analyzing data to find helpful insight for business. | First understand what business needs and convert into clear requirements. | Creates ML models that can make predictions. |
| Core Toolset | Excel, SQL, Power BI, Python, Tableau | Excel, Wireframing tools, Tableau, Basic SQL | Python, Machine Learning, Deep Learning, Statistics |
| Coding Depth | Intermediate (SQL & Python data processing skills) | Low to Minimal skills | High (Advanced Python/R & ML libraries, AI) |
| Nagpur Offerings | Data Analyst Course in Nagpur | Business Analyst Course in Nagpur | Data Science Course in Nagpur |
AI Driven Data Analyst Course Syllabus
- What is Python and brief history
- Why Python and who use Python
- Discussion on Python 2 and 3 Unique features of Python
- Discussion on various IDE's
- Demonstration of practical use cases
- Python use cases using data analysis
- Installing python
- Setting up Python environment for development
- Installation of Jupyter Notebook
- How to access our course material using Jupyter
- Write your first program in python
- Python built-in functions
- Number objects and operations
- Variable assignment and keywords String objects and operations
- Print formatting with strings
- List objects and operations
- Tuple objects and operations
- Dictionary objects and operations
- Sets and Boolean
- Object and data structures assessment test
- Introduction to Python statements
- If, elif and else statements
- Comparison operators
- Chained comparison operators
- What are loops
- For loops
- While loops
- Useful operators
- List comprehensions
- Statement assessment test
- Game challenge
- Methods
- What are various types of functions
- Creating and calling user defined functions
- Function practice exercises
- Lambda Expressions
- Map and filter
- Nested statements and scope
- Args and kwargs
- Functions and methods assignment
- Milestone Project (Making tic-tac-toe in python)
- Process files using python
- Read/write and append file object
- File functions
- File pointer and operations
- Introduction to error handling
- Try, except and finally
- Python standard exceptions
- User defined exceptions
- Unit testing
- File and exceptions assignment
- Python inbuilt modules
- Creating UDM-User defined modules
- Passing command line arguments
- Writing packages
- Define PYTHONPATH
- name and main
- Object oriented features
- Implement object oriented with Python
- Creating classes and objects
- Creating class attributes
- Creating methods in a class
- Inheritance
- Polymorphism
- Special methods for class
- Assignment – Creating a python script to replicate deposits and withdrawals in a bank with appropriate classes and UDFs
- Collections module
- Datetime
- Python debugger
- Timing your code
- Regular expressions
- StringIO
- Python decorators
- Python generators
- Install packages on python
- Introduction to pip, easy_install
- Multithreading
- Multiprocessing
- What is SQL?
- Why do we need SQL integration with Python?
- Data types in SQL
- DDL, DML, and TCL sub-languages in SQL
- Significance and type of Joins in SQL
- Where clause in SQL
- Group by clause in SQL
- Create command in SQL
- Insert command in SQL
- Select command in SQL
- Select command variants in SQL
- Update command in SQL
- Delete command in SQL
- Drop command in SQL
- Truncate command in SQL
- Commit and rollback concepts in SQL
- SQL integration with Python
- Table operations in SQL using Python
- Working on multiple tables using Python and SQL
- CRUD operations in SQL
- REST principles
- Creating application endpoints
- Implementing endpoints
- Using Postman for API testing
- CRUD operations on database
- REST principles and connectivity to databases.
- Creating a web development API for login register and connecting it to database
- Deploy the API on local server
- Data Analysis using Numpy and Pandas
- Data Visualization using Matplotlib and Seaborn
- Dealing with missing values, NaN values
- Standard scaler
- Correlation-based processing
- Divide data in test and train splits to supply to machine-learning algorithms
- Time series analysis
- Reshaping Data
- Data Manipulation as per requirement
- Derive columns based on rules
- Filtering data
- Compression and decompression techniques
- Introduction in Excel
- Data Cleaning & Preparation
- Formatting & Conditional Formatting
- Lookup Function
- Analyzing data with Pivot Tables
- Charts
- Data Visualization/Dashboarding using excel
- Data Analysis using statistics
- Introduction to data analysis
- Why Data analysis?
- Data analysis and Artificial intelligence bridge
- Introduction to Data Analysis libraries
- Data analysis introduction assignment challenge
- Introduction to Numpy arrays
- Creating and applying functions
- Numpy Indexing and selection
- Numpy Operations
- Exercise and assignment challenge
- Pandas series
- Introduction to DataFrames
- Missing data
- Groupby
- Merging, joining and Concatenating
- Operations
- Data Input and Output
- Pandas in depth coding exercises
- POC – Analysis of e-commerce dataset using pandas
- POC – Getting insights on employee salaries data using data analysis in python
- Matplotlib
- Plotting using Matplotlib
- Plotting Numpy arrays
- Plotting using object-oriented approach
- Subplots using matplotlib
- Matplotlib attributes and functions
- Matplotlib exercises
- Seaborn
- Seaborn visualization
- Categorical Plot using Seaborn
- Distributional plots using Seaborn
- Matrix plots
- Grids
- Seaborn exercises
- Project – Getting insights using python analysis and visualizations on finance credit score data.
- Pandas built-in data visualization
- Data visualization assignment
- Capstone Project
- Python and Web-based Project Development
- You can select the Power BI or Tableau based on your preference of business intelligence tool to visualize and analyze the data sets.
- Module 20 – Data Visualization using Power BI
- Comparison Between Power BI & Programming Based Data Visualization
- Need Of Power BI
- Types Of Data Sources Supported By Power BI For Report Development
- How To Build Report & Dashboard in Power BI
- How To Build Charts In Power BI
- Data Visualization Using Power BI Features
- Types of Graphs
- Multiple graphs combinations
- Multiple file formats supported in Power BI
- Data analysis without visualization
- Data analysis with visualization
- OR
- Module 20 – Data Visualization using Tableau BI Tool
- Comparison Between Tableau & Programming Based Data Visualization
- Need Of Tableau
- Types Of Data Sources Supported By Tableau For Report Development
- How To Build Report & Dashboard in Tableau
- How To Build Charts In Tableau
- Data Visualization Using Tableau Features
- Introduction to Generative AI and LLMs
- How Generative AI is reshaping data analysis
- Popular GenAI tools (ChatGPT, Gemini, Copilot)
- Prompt engineering fundamentals for analysts
- Using Gen AI for data cleaning and preparation
- Generating SQL queries from natural language
- Writing and debugging Python code with AI
- Automating exploratory data analysis (EDA)
- Creating visualizations with AI assistants
- Crafting effective prompts for data tasks
- Summarizing datasets and generating insights
- Building automated reports and dashboards
- Data privacy, security and responsible AI use
- Understanding AI hallucinations and limitations
- POC - Building an AI-assisted analytics workflow to clean, analyze and report on a business dataset of Banking and Finance / Healthcare/ Retail
- Generative AI hands-on assignment
- Project use cases Introduction
- Project Scenarios
- Project life cycle
- What is version controlling in project management
- What is GitHub
- Significance of GitHub in project management
- Code submission for testing and deployment
- Predictive analytics tools and techniques
- Project best practices
Our trainers are experienced data analytics professionals who simplify critical concepts and make them easy to understand. They solve every type of student's query and provide practical guidance throughout the online data analyst training in Nagpur. Their teaching method focuses on real-time examples, data analyst skills, data analyst projects, SQL, Python, Power BI, Excel, and data analyst interview preparation. Students also receive one-on-one coaching sessions, helping them clarify their questions and build the skills required for a successful data analyst career.
Key Highlights of Our Trainers:
- Certified Professionals with Over 15+ Years of In-Depth Experience
- Imparted Knowledge to Over 2,000 Students Annually
- Strong Theoretical and Practical Expertise in Data Analyst Skills
- Expert Knowledge of the Data Analyst Course Syllabus and Real-World Industry Applications
- Practical Guidance Through Data Analyst Projects and Real-Time Case Studies
- Hands-On Data Analytics Training in SQL, Python, Power BI, and Excel
- Focused Data Analyst Interview Preparation and Job-Oriented Training
- Guidance on Real-Time Data Analyst Projects and Industry-Based Applications
Why Choose Technogeeks for Online Data Analyst Training in Nagpur?
Everything You Need to Start Your Data Analyst Career in Nagpur
Data Analyst Tools & Technologies You'll Learn at Technogeeks
23+ Industry-Standard Data Analyst Tools Covered in This Program in Nagpur.
Book Your Seat Today!
Start your journey with just ₹5,000. Watch a free demo first — pay the rest only after you're confident. No-cost installments available.
Data Analyst Training to Placement Journey in Nagpur
From your first session to landing your dream data analyst job - every step mapped out.
FAQ’S OF Data Analytics Training in Nagpur
No, there are differences between business analyst and data analyst. A data analyst mainly works on data, reports, and insights of the data. But business analysts focus on business requirements, processes, and solutions. If you want to learn more about data analyst or business analyst course in Nagpur, then technogeeks is the right option for you where you will get hands-on experience that helps you build real world data analytics skills.
| Experience Level | Data Analyst Role | Basic Salary in India |
|---|---|---|
| 0–1 Yrs | Fresher / Entry-Level Data Analyst | ₹3–5 LPA |
| 1–3 Yrs | Data Analyst | ₹5–8 LPA |
| 3–5 Yrs | Senior Data Analyst | ₹8–12 LPA |
| 5+ Yrs | Lead Data Analyst | ₹12–18+ LPA |
To get a data analyst job, start by learning Excel, SQL, Power BI, statistics, and data visualization. Building data analyst projects, preparing a strong data analyst portfolio, and applying for data analyst jobs for freshers can help you gain practical experience.
Coding is not necessary for every data analyst role, but basic programming can be helpful. Learning sql for data analyst roles and basic Python can make it easier to work with large datasets and you will qualify for more job opportunities.
You can start by learning the basics of Excel, SQL, statistics, and visualization tools. Build practical projects, create a data analyst fresher resume, and look for a data analyst internship for freshers to gain real-world experience.
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Data analyst course Certification Training locations in Nagpur:
Sitabuldi[440012], Dharampeth[440010], Ramdaspeth[440010], CivilLines[440001], Sadar[440001], Mahal[440032], Ganeshpeth[440018], Itwari[440002], CottonMarket[440018], WardhamanNagar[440008], Manewada[440024], Besa[440037], ManishNagar[440015], NarendraNagar[440015], TrimurtiNagar[440022], PratapNagar[440022], LaxmiNagar[440022], Khamla[440025], HingnaRoad[440016], Wadi[440023], Mankapur[440030], KoradiRoad[440030], Nandanvan[440009], Hudkeshwar[440034], Pardi[440035], Kalamna[440008], KampteeRoad[440026], Jaripatka[440014], ZingabaiTakli[440030], FriendsColony[440013], MedicalSquare[440024], ShankarNagar[440010], SeminaryHills[440006], Gittikhadan[440013], BajajNagar[440010], Ambazari[440033], OmkarNagar[440027], Pipla[440034], ChhatrapatiNagar[440015], NewSnehNagar[440015]
Locations Offered:
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