ASPIRE COMPUTER INSTITUTEIndustry-focused Data Analytics Training • Nagpur
Nagpur • Online / Offline / Hybrid

Data Analytics Course in Nagpur

Build job-relevant skills in Advanced Excel, SQL, Power BI, Python and statistics through 6 months of Data Analytics training and 5 live projects.

Course fee: ₹30,000. Includes 3–6 months of internship opportunities, lifetime job-assistance support and career guidance, and 100% job assistance to support your job search. Job assistance is not a placement guarantee.

Trimurti Nagar, Nagpur, Maharashtra

6 MonthsData Analytics training duration
₹30,000Total course fees
Online • Offline • HybridAvailable training modes
5 Live ProjectsPractical portfolio experience
Course overview

What will you learn in this Data Analytics course?

Data analytics is the process of collecting, cleaning, analysing and presenting information to answer business questions and support decisions. At Aspire Computer Institute in Nagpur, the course starts with fundamentals and progresses to practical reporting, dashboards and analysis using Excel, SQL, Power BI and Python.

The syllabus includes statistical analysis, SQL queries, Power Query and DAX, Python libraries such as Pandas and NumPy, an end-to-end business intelligence capstone and data analyst interview preparation. An introductory machine learning module is optional .

Who can consider this course?

Students, graduates, commerce or non-IT learners, job seekers and working professionals who want to develop data analysis skills. The curriculum begins with the fundamentals; contact Aspire to confirm the prerequisites for your batch.

What is the learning approach?

Practice with Excel, SQL, Power BI and Python using real-world-style datasets. Complete 5 live projects, create dashboards, document business findings and build a portfolio for interviews.

Fees, duration and training modes

Duration: 6 months of training.
Course fee: ₹30,000.
Training: Online, offline or hybrid. Contact the institute to confirm batch timings and internship arrangements.

Admissions & student support

Data Analytics Course Fees, Duration, Training Modes & Career Benefits

Aspire Computer Institute offers 6 months of Data Analytics training at ₹30,000 with flexible learning formats, five live projects and continued career support.

₹30,000 Course Fees

Fee for the complete 6-month Data Analytics training programme.

Online / Offline / Hybrid

Choose the training mode that suits you. Confirm your preferred batch's availability before admission.

5 Live Projects

Build hands-on project experience with Excel, SQL, Power BI, Python and business datasets.

3–6 Month Internship

Internship opportunities of 3 to 6 months to practise job-related tasks. Confirm eligibility, timing and terms with Aspire.

100% Job Assistance

Support with job preparation, resume guidance, interview practice and suitable job opportunities. Assistance does not guarantee employment.

Lifetime Career Support

Ongoing job-assistance support and career guidance for course learners, including future job-search advice.

Ready to start? Discuss online, offline or hybrid batches, internship arrangements and enrolment details with the admissions team.

Enquire on WhatsApp

The six-month duration refers to training. Internship opportunities are described separately; availability, schedule and participation conditions should be confirmed with Aspire. “100% job assistance” means career and job-search assistance, not guaranteed placement.

Complete curriculum

Data Analytics Course Syllabus: 9 Learning Modules

Explore the tools, concepts and hands-on tasks covered in each module. Module durations are indicative; confirm the current timetable with the institute.

Module 1: Data Analytics Fundamentals (2 Weeks)

Topics covered

  • What is Data Analytics? Types (Descriptive, Diagnostic, Predictive, Prescriptive Analytics)
  • Roles in Analytics: Data Analyst, BI Analyst, Data Scientist Careers
  • Data Lifecycle & Workflow (Collection → Cleaning → Analysis → Visualization → Reporting)
  • Structured vs. Semi-Structured vs. Unstructured Data Types
  • File Formats (CSV, Excel, JSON, XML, Parquet for Data Handling)
  • Introduction to Relational Databases (RDBMS Concepts for Beginners)
  • Basics of ETL (Extract, Transform, Load Processes)

Hands-on practice

  • Identify Data Types from Real-World Datasets
  • Introduction to Kaggle Datasets for Analytics
  • Import & Explore Data in Excel and SQL Tools

Module 2: Advanced Excel for Data Analysis (2 Weeks)

Topics covered

  • Excel Basics Refresher (Formulas, Cell References, Keyboard Shortcuts)
  • Data Cleaning Techniques (TRIM, PROPER, SUBSTITUTE, TEXT Functions)
  • Lookup Functions: VLOOKUP, HLOOKUP, XLOOKUP, INDEX + MATCH Mastery
  • Conditional Functions: IF, IFS, SUMIF, COUNTIF for Analytics
  • Pivot Tables & Pivot Charts – Analyzing Sales/HR Datasets
  • Advanced Charting (Combo Charts, Sparklines, Dynamic Ranges)
  • What-If Analysis: Goal Seek, Scenario Manager, Data Tables
  • Data Validation & Error Handling in Excel
  • Dashboard Creation with Slicers & Pivot Charts

Hands-on practice

  • Create an HR Attrition Dashboard in Excel
  • Build a Sales Forecast Model with What-If Analysis

Module 3: SQL for Data Analytics (3 Weeks)

Topics covered

  • SQL Basics: DDL, DML, DCL, TCL Commands
  • SELECT, WHERE, ORDER BY, DISTINCT for Data Retrieval
  • Aggregations: GROUP BY, HAVING, COUNT, AVG, SUM, MAX, MIN
  • Joins: INNER, LEFT, RIGHT, FULL OUTER, CROSS Joins Explained
  • Subqueries: Scalar, Correlated, Nested Queries
  • String Functions (CONCAT, SUBSTRING, REPLACE, TRIM)
  • Date & Time Functions (NOW, DATEPART, DATEDIFF)
  • CASE & Conditional Logic in SQL
  • Window Functions: ROW_NUMBER, RANK, DENSE_RANK, NTILE, PARTITION BY
  • Views, Indexes & Performance Optimization Basics
  • Importing/Exporting Data from SQL Databases

Hands-on practice

  • Write SQL Queries for Sales, Banking, and HR Datasets
  • Build an SQL-Based MIS Report (Employee Attrition, Sales Performance)

Module 4: Power BI & Business Intelligence (3 Weeks)

Topics covered

  • Introduction to BI Tools (Power BI vs Tableau Comparison)
  • Data Loading from Excel, SQL, CSV, APIs
  • Power Query: Cleaning, Merging, Appending Datasets
  • DAX Basics: Calculated Columns, Measures, KPIs
  • DAX Functions: CALCULATE, FILTER, RELATED, ALL, SUMX, AVERAGEX
  • Hierarchies & Drillthrough Reports
  • Interactive Dashboards (Filters, Slicers, Buttons, Bookmarks)
  • Publishing Dashboards to Power BI Service
  • Sharing & Collaborating on Reports
  • Storytelling with Data – Best Practices

Hands-on practice

  • Create an Interactive Sales Dashboard in Power BI
  • Build HR Analytics Dashboard (Attrition, Recruitment, Attendance)

Module 5: Statistics for Data Analytics (2 Weeks)

Topics covered

  • Descriptive Statistics: Mean, Median, Mode, Variance, Std. Deviation
  • Probability Distributions: Normal, Binomial, Poisson
  • Correlation & Covariance Analysis
  • Hypothesis Testing: t-test, z-test, Chi-Square Test, ANOVA Basics
  • Outliers Detection (Z-score, IQR Method)
  • Data Sampling & Bias Considerations
  • Statistical Significance (p-value, Confidence Intervals)

Hands-on practice

  • Perform Hypothesis Testing on Sales Dataset
  • Correlation Analysis: Ad Spend vs. Revenue

Module 6: Python for Data Analytics (4 Weeks)

Topics covered

  • Python Basics: Variables, Data Types, Lists, Tuples, Dictionaries
  • Loops, Functions, Conditional Statements
  • Libraries: NumPy, Pandas, Matplotlib & Seaborn for Analytics
  • Data Cleaning: Handling Missing Values, Duplicates, Data Types
  • Exploratory Data Analysis (EDA) Techniques
  • Feature Engineering Basics (Encoding, Normalization)
  • Automating Repetitive Tasks (Batch File Cleaning)
  • Importing Data from SQL with Python

Hands-on practice

  • Clean Messy Datasets Using Pandas
  • Visualize Stock Market / Sales Data Trends
  • Mini-Project: Retail Dataset Analysis (Python + Pandas + Seaborn)

Module 7: Machine Learning Basics (Optional – 2 Weeks)

Topics covered

  • ML Workflow: Data → Preprocessing → Model → Evaluation
  • Supervised Learning: Linear Regression, Logistic Regression
  • Unsupervised Learning: K-Means Clustering
  • Train-Test Split, Cross-Validation Methods
  • Model Evaluation: Accuracy, Precision, Recall, F1-Score, Confusion Matrix

Hands-on practice

  • Predict Employee Attrition (Logistic Regression Model)
  • Cluster Customers (K-Means, Market Segmentation)

Module 8: Business Intelligence Capstone Project (2 Weeks)

Topics covered

  • Collect Data (CSV/SQL/API Sources)
  • Clean & Preprocess with Python & Excel
  • Perform Analysis with SQL + Python
  • Build Dashboard in Power BI/Tableau
  • Present Insights in Business Terms (Case Study Format)

Hands-on practice

  • Sales Forecasting Dashboard
  • HR Attrition Analysis Report
  • Financial Risk Analytics
  • Marketing Campaign Effectiveness Study

Module 9: Career Skills & Data Analyst Interview Preparation (1 Week)

Topics covered

  • Resume Building for Data Analyst Roles
  • LinkedIn Profile Optimization for Job Search
  • Mock Interviews (SQL Queries, Case Studies, BI Scenarios)
  • Communication Skills: Explaining Dashboards to Managers

Hands-on practice

  • SQL (Joins, Window Functions, Case Queries)
  • Power BI (DAX, Visualizations)
  • Python (Pandas, EDA Techniques)
  • Statistics (Hypothesis Testing, Correlation)

Learning outcomes and career preparation

By working through the syllabus and completing practice tasks, learners can build familiarity with data preparation, querying, analysis, visualisation and communicating findings. Learning results depend on participation and prior experience.

Skills you practise

  • Cleaning and organising Excel, CSV and database records
  • Using SQL joins, aggregations and window functions
  • Building Power BI reports using Power Query and DAX
  • Exploring and visualising data in Python and Pandas
  • Interpreting results with statistics and communicating insights

Relevant entry-level roles

  • Junior Data Analyst
  • Business Intelligence / BI Analyst trainee
  • MIS Executive or Reporting Analyst
  • Junior Reporting and Data Operations roles

These are potential career paths, not job or salary guarantees. Placement assistance is not guaranteed employment.

Industry exposure & career opportunities

Types of Companies Hiring Data Analytics Professionals

Data analysts work across many industries, not just IT companies. Aspire’s Excel, SQL, Power BI, Python and reporting syllabus helps learners practise skills that may be useful in these company categories.

IT Services & Software Companies

Analyse application usage, service performance, operational data and customer trends.

Relevant roles: Data Analyst, BI Analyst trainee

Banking, Finance & Insurance

Prepare financial reports, monitor KPIs, analyse transactions and support risk reporting.

Relevant roles: MIS Executive, Reporting Analyst

Retail, E-commerce & FMCG

Study product sales, customer behaviour, stock movement and marketing performance.

Relevant roles: Sales Analyst trainee, Data Analyst

Healthcare & Pharmaceuticals

Work with operational dashboards, inventory reports and other appropriately governed business datasets.

Relevant roles: MIS Analyst, Operations Reporting

Manufacturing, Automotive & Logistics

Track production, inventory, delivery performance, procurement and process quality metrics.

Relevant roles: Operations Analyst trainee, MIS Executive

Consulting, Marketing & Analytics Firms

Create campaign dashboards, client reports, business forecasts and presentation-ready insights.

Relevant roles: Junior Analyst, Reporting Analyst
Aspire placement information

Companies featured on Aspire Computer Institute's placement page

Aspire's official placement page lists these organisations among its hiring partners. This is a reference to the institute's published placement information, not a claim that each company currently offers Data Analytics vacancies or recruits every Aspire student.

Explore Aspire placements
  • Wipro
  • TCS
  • Infosys
  • Capgemini
  • Accenture
  • Persistent
  • HCL
  • Mastersoft

Published Data Analytics success story: Aspire's placement page features a Data Analytics learner placed at Wipro. See the official placement page for the published example and available details.

Company categories are examples of industries where analytics skills can be applied. Individual openings, hiring requirements, eligibility, compensation and placement outcomes vary.

Portfolio and practical learning

5 Live Data Analytics Projects

Apply what you learn through 5 live, practical analytics projects. The project themes below show the types of business problems covered; the datasets and industry scenarios can vary by batch.

01

Sales reporting dashboard

Clean sales records and build an interactive Power BI dashboard to explore revenue, product performance and trends.

02

HR attrition analysis

Explore employee data with Excel, SQL and statistics, and present findings in a clear report or dashboard.

03

Python retail dataset analysis

Use Pandas for preprocessing and exploratory analysis, then visualise results with Python plotting libraries.

04

Marketing campaign analysis

Compare campaign performance, analyse relationships in data and communicate insights through visuals.

05

Financial risk & performance analytics

Explore finance-related data, prepare clean KPI reports and build a dashboard that highlights trends, exceptions and business risks.

The five live projects are part of the training programme. Project topics and datasets may vary by batch; ask Aspire to see available project briefs or learner portfolios.

Frequently asked questions

Data Analytics course in Nagpur: common questions

What is the duration of the Data Analytics course at Aspire?

The Data Analytics training duration is 6 months. Internship opportunities last 3–6 months and are described separately from the training period; please confirm their schedule with the institute.

Which tools are covered in the course?

The syllabus covers Advanced Excel, SQL, Power BI, Python, Pandas, NumPy, statistics and introductory data visualisation. Tableau is introduced as part of the BI tools comparison and capstone options.

Can a beginner learn Data Analytics without a programming background?

The curriculum starts with data analytics concepts, Excel and introductory SQL before moving to Python. It is structured as a progressive learning path. Check with the institute about any entry requirements for the current batch.

Does this Data Analytics course include projects?

Yes. Aspire includes 5 live Data Analytics projects using tools such as Excel, SQL, Power BI and Python. Project work can cover sales, HR, retail, marketing and finance analytics.

Does Aspire provide placement assistance?

Yes. Aspire provides 100% job assistance, along with lifetime job-assistance support and career guidance. Assistance may cover resumes, interviews and job-search guidance. This does not guarantee a job, interview or salary.

What is the fee for the Data Analytics course in Nagpur?

The Data Analytics course fee at Aspire Computer Institute is ₹30,000 for 6 months of training. For fee-payment details and batch availability, call +91 91756 37604.

Where is Aspire Computer Institute located in Nagpur?

Aspire Computer Institute has training centres at Second Floor, Plot No. 5, Ring Road, beside Nirmal Ujjwal Bank, Trimurti Nagar, Nagpur 440022 and Mahajanwadi, Hingna, Nagpur 441110. See the location maps and directions, and call to confirm which centre has your Data Analytics batch.

What jobs can I consider after learning Data Analytics?

Depending on your skills and experience, possible roles include Junior Data Analyst, MIS Executive, Reporting Analyst and junior BI-related positions. Availability, eligibility and salary depend on employers and the job market.

What types of companies can I apply to after learning Data Analytics?

Data Analytics skills can be relevant to IT and software companies, banking and finance, retail and e-commerce, healthcare, manufacturing and logistics, and consulting or marketing firms. Aspire also publishes a list of hiring partners on its placement page. These examples do not guarantee vacancies or selection.

Can I take the Data Analytics course online, offline or hybrid?

Yes. Aspire offers online, offline and hybrid training modes. Contact the admissions team to check the schedule and availability for your preferred mode.

Does the Data Analytics programme offer an internship?

The programme advertises 3–6 month internship opportunities. Ask Aspire about the internship format, eligibility, projects and start date; the 6-month course duration refers to training.

Does Aspire provide lifetime job assistance and career guidance?

Yes. Aspire offers ongoing lifetime job-assistance support and career guidance for learners. This support is intended to help with future job searches and career decisions; placement itself is not guaranteed.

Visit Aspire Computer Institute

Our Data Analytics Training Enquiry Locations in Nagpur

Visit our Trimurti Nagar or Hingna branch for course counselling, batch details and admission enquiries. Find Aspire Computer Institute at Trimurti Nagar and Hingna using the maps below. Select a marker for branch details, or use Get Directions to open the official location shared by Aspire on Google Maps.

Nagpur Training Centre

Trimurti Nagar Branch

Second Floor, Plot No. 5, Ring Road, beside Nirmal Ujjwal Bank, Ward No. 3, Trimurti Nagar, Nagpur, Maharashtra 440022
Trimurti Nagar, Nagpur

Open our exact branch location on Google Maps for turn-by-turn directions.

View on Google Maps

The branch marker uses the location you shared. Select Get Directions for Google Maps navigation.

Nagpur Training Centre

Hingna Branch

Near Mahakali Automobiles, Above Virat Boot House, 2nd Floor, Mahajanwadi, Hingna, Nagpur, Maharashtra 441110
Mahajanwadi (Hingna), Nagpur

Open our exact branch location on Google Maps for turn-by-turn directions.

View on Google Maps

The branch marker uses the location you shared. Select Get Directions for Google Maps navigation.

Please call +91 91756 37604 before visiting to confirm the branch where the current Data Analytics batch is conducted, class timings and seat availability.

6-month Data Analytics training

Enquire about the ₹30,000 Data Analytics Course

Choose online, offline or hybrid training. Ask about the 5 live projects, 3–6 month internship, lifetime career support and upcoming batches.

Location: Trimurti Nagar, Nagpur, Maharashtra

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