Best Data Analytics Course in Jalandhar

Data Analytics means collecting, cleaning, and analyzing raw data to uncover trends, patterns, and insights that help businesses make smarter decisions. Our Data Analytics Course in Jalandhar covers the complete industry-demanded skill set — from Excel and Advanced Excel to Power BI, SQL, Python, and Machine Learning — so you become a job-ready Data Analyst.

We teach the Data Analytics course with live projects so students can see, in real time, how raw data is transformed into dashboards, reports, and predictive models. This course covers Excel Formulas, VLookup, Consolidate, Goal Seek, Macros & VBA, Power BI Dashboards & DAX, SQL Queries & Database Management, Python Programming, and Machine Learning with NumPy, Pandas & Matplotlib.

100% Practical Training + Live Project + Certification + Job – Call: 80700-85700, 9815927277-78

Data Analytics Course Syllabus:

Excel is the foundation of Data Analytics, used for organizing, calculating, and presenting data. In this module, students learn everything needed to manage and analyze datasets efficiently before moving to advanced BI tools.

  • Excel Interface, Workbooks, Worksheets & Cell Formatting
  • Mathematical, Logical, Text & Date Functions
  • Sorting, Filtering & Conditional Formatting
  • Pivot Tables & Pivot Charts for Data Summarization
  • Charts & Graphs for Data Visualization
  • Data Validation & Protecting Worksheets

Advanced Excel takes analysis skills further with formulas, automation, and scenario planning tools that companies use daily for reporting and decision-making.

  • VLookup, HLookup, Index-Match & Nested Functions
  • Consolidate for Merging Data from Multiple Sheets/Workbooks
  • Goal Seek & What-If Analysis for Scenario Planning
  • Data Tables, Solver & Sensitivity Analysis
  • Macros for Automating Repetitive Tasks
  • VBA (Visual Basic for Applications) Programming Basics
  • Dashboard Creation Using Advanced Excel Tools

Power BI is Microsoft's leading Business Intelligence tool used to build interactive dashboards and reports from multiple data sources.

  • Connecting Power BI with Excel, SQL & Cloud Data Sources
  • Data Cleaning & Transformation Using Power Query
  • Data Modeling & Table Relationships
  • DAX (Data Analysis Expressions) for Measures & Calculations
  • Building Interactive Dashboards & Visual Reports
  • Publishing & Sharing Reports on Power BI Service

We also offer a standalone Power BI Course for students who want to specialize only in BI reporting.

SQL (Structured Query Language) is essential for every Data Analyst to extract, filter, and manage data stored in relational databases.

  • Database & Table Design Concepts
  • SELECT Queries, WHERE Clauses & Sorting Data
  • JOINS (Inner, Left, Right, Full) Across Multiple Tables
  • Aggregate Functions, GROUP BY & HAVING
  • Subqueries & Nested Queries
  • Views, Indexes & Stored Procedures Basics

Python is the most in-demand programming language for Data Analytics, used for data processing, automation, and building analytical models.

  • Python Basics: Variables, Data Types & Operators
  • Loops, Conditional Statements & Functions
  • Lists, Tuples, Dictionaries & Sets
  • File Handling & Working with CSV/Excel Data
  • Working with APIs & Web Scraping Basics
  • Introduction to Jupyter Notebook & Google Colab

We also offer a full Python Course for students interested purely in programming.

This module introduces Machine Learning concepts and the core Python libraries used by every Data Analyst and Data Scientist for numerical computing, data manipulation, and visualization.

  • NumPy: Arrays, Matrix Operations & Numerical Computing
  • Pandas: DataFrames, Data Cleaning & Manipulation
  • Matplotlib: Data Visualization with Line, Bar, Pie & Scatter Plots
  • Introduction to Machine Learning Concepts & Terminology
  • Supervised vs Unsupervised Learning Basics
  • Building Simple Predictive Models Using Scikit-learn

Students wanting to go deeper can join our dedicated Machine Learning Course after completing this module.

Future of Data Analytics

Data Analytics will continue to grow with increasing use of AI-driven insights, automated reporting, and cloud-based analytics platforms. Businesses across every industry are hiring Data Analysts to interpret data and guide strategic decisions, making this one of the most future-proof career paths.

There is strong demand for Data Analysts, BI Developers, SQL Developers, and Python-based Analysts across IT, finance, retail, and healthcare sectors.

Overview of Data Analytics Course

  • Covers the complete analytics stack: Excel, Advanced Excel, Power BI, SQL, Python & Machine Learning.
  • Hands-on training with live projects and real-world datasets.
  • Prepares students for roles like Data Analyst, BI Analyst, and Junior Data Scientist.

Duration of Data Analytics Course

4 - 6 Months