Best Data Analyst Course in Nagpur with AI
Job-oriented, hands-on Data Analyst Course in Nagpur with practical training, real-time AI projects, and AI-powered data analytics. Learn Excel, SQL, Power BI, Python, Data Visualization, and AI tools from experienced IT professionals with 16 years of experience.
No-cost EMI available
Data Analyst Course in Nagpur | with SQL, Python, Power BI, AI & Placement
Are you looking for a data analyst course near me to gain practical skills and start your career in data analytics? TechnoGeeks Institute offers a structured data analyst course in Nagpur with job-oriented training, hands-on learning, practical assignments, and real-world projects. The course is for students, freshers, and working professionals who want to build their skills and grow in the field of data analytics.
Advanced Data Analytics Training
The data analytics courses in Nagpur at TechnoGeeks Institute focus on practical learning and help students understand how to collect, clean, analyze, and visualize data. Through assignments and real-world projects, learners can develop useful skills and understand how data analytics is used in business.
As part of the learning path, the advanced excel course in Nagpur helps students build strong Excel skills. It covers advanced formulas, pivot tables, data cleaning, charts, dashboards, and reporting, making it easier to manage and analyze business data.
For learners interested in advanced career options, a data science course in Nagpur can be another choice.
Skills and Career Roadmap
If you want to become a good data analyst, you need to learn some technical skills and know how to work with data and how to collect data from sources. Important data analyst skills include Excel, SQL, data cleaning, basic statistics, and data visualization. Tools like Power BI and Tableau can also help you create clear reports and dashboards.
Our data analyst roadmap is designed by IT experts and it will help beginners to learn these skills. You can start with Excel and basic statistics, then move to SQL Database and data visualization. After that, working on practical projects will help you to gain experience and become more confident with data.
Course Fee, Resume and Data Analyst Job Opportunities
The data analyst course fee depends on course duration, curriculum, practical projects, training format, and career support. Learners should check the course syllabus and practical training before choosing a program..
The data analyst salary depends on your experience, skills, company, industry, and job location. After gaining relevant knowledge and project experience, candidates can explore data analyst jobs in nagpur and other locations too.
A good data analyst resume should highlight technical skills, certifications, projects, internships, and educational qualifications. Learners who are also interested in business-related roles can explore a business analyst course in Nagpur based on their career goals.
The data analyst course syllabus at TechnoGeeks Institute covers Excel, SQL, data cleaning, statistics, data visualization, dashboard creation, Python, practical projects, and interview preparation. This gives learners the skills they need to start building a career in data analytics.
Course Curriculum
- 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 experts in their fields. They simplify complex concepts for the students and make them easy to understand. They solve each and every type of student's query. Their teaching method is more focused on real-time examples, preparing the students for industry interviews. Students will have one-on-one coaching sessions with them so that they will be able to ask questions at any time.
Key Highlights of Our Trainers:
- Certified Professionals with Over 8 Years of In-Depth Experience
- Imparted Knowledge to Over 2,000 Students Annually
- Demonstrated Strong Theoretical and Practical Expertise in Their Respective Domains
- Possess Expert-Level Subject Knowledge and Stay Current with Real-World Industry Applications
Why Choose Technogeeks?
Everything you need to launch your career in tech
Tools & Technologies You'll Master
23+ industry-standard tools covered in this program
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Start your journey with just ₹5,000. Watch a free demo first — pay the rest only after you're confident. No-cost installments available.
Training to Placement Journey
From your first session to landing your dream job — every step mapped out.
Frequently Asked Questions
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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