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The Complete Data Analytics Bootcamp: From Excel & SQL to Dashboards & Insights

Master Excel, SQL, Tableau, and Python to transform raw data into actionable business insights and land your first data analyst role.

5.0 (800 ratings) · 1.2K learners · Malayalam · Updated Oct 2026
Created by Ayana

What you will learn

  • Clean, manipulate, and analyze structured datasets using Microsoft Excel and SQL.
  • Write complex SQL queries, JOINs, subqueries, and window functions to extract business metrics.
  • Build interactive, dynamic dashboards in Tableau or Power BI to visualize insights.
  • Perform exploratory data analysis (EDA) using Python, Pandas, and NumPy.
  • Translate raw business problems into clear data questions and actionable recommendations.
  • Present findings effectively through visual data storytelling to stakeholders.

Course content

3 sections · 23 lessons · 9h 37m total

Introduction To Data Analytics Preview 20:07
Introduction To Data Analytics 0:00
1 Excel 14:34
2 Excel 41:52
Excel 0:00
Python 1:16:46
Python 0:00
Pandas 46:59
Pandas 0:00
Numpy 37:34
Numpy 0:00
Data Visualization Matplotlib Seaborn 51:11
Data Visualization Matplotlib Seaborn 0:00
Eda 1:44:40
Eda 0:00
1 Sql 21:09
2 Sql 30:24
3 Sql 21:39
Sql 0:00
Power Bi 54:51
Power Bi 0:00
Statistics 55:52
Statistics 0:00

Requirements

  • No prior programming or data analysis experience required.
  • A computer (Windows or Mac) with an internet connection.
  • Free trial or community versions of Microsoft Excel, SQL Server/PostgreSQL, and Tableau Desktop/Power BI Desktop.
  • Eagerness to learn and solve real-world problems.

Description

Become a Job-Ready Data Analyst in One Comprehensive Course

Data is driving decisions in every major industry across the globe. Whether you want to transition into a tech career, enhance your current business skills, or become a data-driven decision-maker, The Complete Data Analytics Bootcamp is designed to take you from absolute beginner to industry-ready analyst.

What You Will Learn

  • Data Fundamentals & Problem Solving: Understand the data analysis lifecycle, key metrics, and business intelligence principles.
  • Advanced Excel: Master formulas, Pivot Tables, data cleaning, VLOOKUP/XLOOKUP, and interactive dashboarding.
  • SQL for Data Analysis: Query databases using SELECT statements, JOINs, subqueries, CTEs, and window functions to extract business insights.
  • Data Visualization with Tableau & Power BI: Build dynamic, interactive dashboards and communicate data stories effectively to stakeholders.
  • Python for Analytics: Learn Python basics, Pandas, NumPy, and Matplotlib to automate analysis and manipulate large datasets.
  • Real-World Capstone Projects: Work on practical datasets from e-commerce, finance, and healthcare to build an impressive portfolio.

Why Take This Course?

  • Structured & Hands-on: Every section includes quizzes, practical exercises, and downloadable resources.
  • No Prior Coding Required: We start from scratch and build your technical skills step-by-step.
  • Portfolio-Ready Output: Complete real-world case studies to demonstrate your skills to recruiters.

Who Is This Course For?

  • Beginners looking to launch a career in Data Analytics or Business Intelligence.
  • Professionals wanting to make smarter, data-driven decisions using Excel, SQL, and Python.
  • Students and job seekers who want hands-on projects for their resume.

Who this course is for

  • Absolute beginners to pro who want to launch a career as a Data Analyst or Business Intelligence Analyst.
  • Excel users looking to upgrade their skills with SQL, Python, and modern visualisation tools.
  • Business professionals and managers who want to make data-driven business decisions.
  • Students and job-seekers aiming to build a portfolio of hands-on data projects.

Your instructor

Ayana

  • 5.00 instructor rating
  • 5.9K reviews
  • 11K students
  • 4 courses

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5.0

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