📊 Data Analytics Course Syllabus in Nagpur – Excel SQL Power BI Python Training

Master Excel, SQL, Power BI, Python & Statistics for Data Analyst Roles at Aspire Computer Institute

Industry-Relevant Data Analytics Syllabus & Training in Nagpur for Career Transformation

📍 Nagpur | 📞 Contact: +91 75637604 | 🌐 Website: aspirecomputer.in

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Job-Ready Data Analytics Syllabus Nagpur

Data Analytics Course Modules in Nagpur – Excel SQL Power BI Python Training Syllabus

Expert-Designed Data Analytics Curriculum for Aspiring Data Analysts: Excel Training, SQL Course, Power BI/Tableau, Python for Data Analytics

Module 1: Data Analytics Fundamentals & Foundations Syllabus (2 Weeks)
Key Topics in Data Analytics Fundamentals & Descriptive Analytics:
  • 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 Data Analytics Practice & Real-World Datasets:
  • 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 & Training Syllabus Nagpur (2 Weeks)
Advanced Excel Topics for Data Analysts & Excel Training in Nagpur:
  • 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 Excel Projects & Data Analytics Dashboards:
  • Create an HR Attrition Dashboard in Excel
  • Build a Sales Forecast Model with What-If Analysis
Module 3: SQL for Data Analytics Course & Querying Syllabus (3 Weeks)
Essential SQL Topics for Data Querying & SQL Course in Nagpur:
  • 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 SQL Exercises & Data Analytics Queries:
  • Write SQL Queries for Sales, Banking, and HR Datasets
  • Build an SQL-Based MIS Report (Employee Attrition, Sales Performance)
Module 4: Power BI Data Visualization & Reporting Training Syllabus (3 Weeks)
Power BI & Tableau Topics for Data Visualization & BI Training Nagpur:
  • 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 Power BI Projects & Interactive Dashboards:
  • Create an Interactive Sales Dashboard in Power BI
  • Build HR Analytics Dashboard (Attrition, Recruitment, Attendance)
Module 5: Statistics for Data Analytics & Understanding Syllabus (2 Weeks)
Core Statistics Topics in Data Analytics Course Nagpur:
  • 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 Statistics Applications & Hypothesis Testing:
  • Perform Hypothesis Testing on Sales Dataset
  • Correlation Analysis: Ad Spend vs. Revenue
Module 6: Python for Data Analytics & Programming Syllabus (4 Weeks)
Python Programming Topics for Data Science & Analytics Training:
  • 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 Python Projects & Pandas Data Cleaning:
  • Clean Messy Datasets Using Pandas
  • Visualize Stock Market / Sales Data Trends
  • Mini-Project: Retail Dataset Analysis (Python + Pandas + Seaborn)
Module 7: Machine Learning Basics for Data Analytics (Optional – 2 Weeks)
Introductory Machine Learning Topics in Data Analytics Syllabus:
  • 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 ML Exercises & Regression Models:
  • Predict Employee Attrition (Logistic Regression Model)
  • Cluster Customers (K-Means, Market Segmentation)
Module 8: Business Intelligence Capstone Project & Data Analytics (2 Weeks)
End-to-End BI Project Workflow for Data Analyst Certification:
  • 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)
Real-World Data Analytics Project Examples:
  • Sales Forecasting Dashboard
  • HR Attrition Analysis Report
  • Financial Risk Analytics
  • Marketing Campaign Effectiveness Study
Module 9: Soft Skills & Interview Preparation for Data Analysts Nagpur (1 Week)
Professional Development Topics for Data Analyst Jobs:
  • 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
Common Data Analytics Interview Questions & Preparation:
  • SQL (Joins, Window Functions, Case Queries)
  • Power BI (DAX, Visualizations)
  • Python (Pandas, EDA Techniques)
  • Statistics (Hypothesis Testing, Correlation)

Data Analytics Course Duration in Nagpur: 4–5 Months (Flexible: Weekends/Weekdays Training)

Key Learning Outcomes from Data Analytics Syllabus Nagpur:

  • Technical Skills: Excel Training, SQL Course, Power BI/Tableau, Python for Data Analytics, Statistics Mastery
  • Projects: Build Portfolio-Ready Dashboards & Python Notebooks for Job Placement

Job Roles Prepared For with Data Analytics Training Nagpur:

  • Data Analyst Positions & Certifications
  • BI Analyst Careers in Nagpur
  • MIS Analyst Roles with Excel SQL
  • Junior Data Scientist Opportunities
Enroll in Data Analytics Course Nagpur: +91 75637604

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