Course Information
Registration period
Year-round Recruitment
Course Level
Study Mode
Duration
19 Hour(s) 47 Minute(s)
Language
English
Taught by
Metla Sudha Sekhar
Rating
3 views
Course Overview
Master Excel, SQL, Power BI & Python to uncover AI-powered business insights and boost your data-driven career today!
Unlock the power of data and artificial intelligence to drive smarter business decisions with the Data Analyst Masterclass: Learn AI Business Insights. This comprehensive course is designed for aspiring data analysts, business professionals, and anyone eager to gain practical data skills that are in high demand across industries.
In this hands-on masterclass, you’ll dive into the essential tools of modern data analysis Excel, SQL, Python, and Microsoft Power BI and learn how to transform raw data into powerful insights using AI-driven techniques. Whether you're starting from scratch or looking to sharpen your skills, this course guides you step by step through the analytics journey, from data cleaning and visualization to advanced business intelligence and reporting.
You'll learn how to:
- Analyze and visualize data using Excel and pivot tables
- Write efficient SQL queries to explore and extract insights from databases
- Use Python and Pandas to clean, process, and model business data
- Create interactive dashboards and reports in Microsoft Power BI
- Apply AI concepts to uncover trends, make predictions, and automate insights
- Build compelling visual narratives to effectively communicate findings
update: you will know top ai tools for every professional for productivity
Real-world projects and case studies will help you apply your knowledge in practical business scenarios, making you job-ready and confident in handling real data challenges. Each module is crafted to build your skills progressively, ensuring a smooth learning curve even if you're new to programming or analytics, take an advantages of completing the coding exercises by practicing real world data examples
By the end of this course, you'll have a strong foundation in data analysis, visualization, and AI applications in business—opening doors to roles like data analyst, business analyst, or AI-savvy manager.
Enroll now and start your journey to becoming a data-driven decision-maker in the AI-powered business world!
Course Content
- 46 section(s)
- 211 lecture(s)
- Section 1 Introduction
- Section 2 Introduction to Data Analyst
- Section 3 Master the Future Essential AI Tools for Every Professional
- Section 4 Excel Data Basics
- Section 5 Excel Formulas and Functions
- Section 6 Excel XLOOKUP only for Excel 2021 and Office 365
- Section 7 Excel Data Transforming and Importing
- Section 8 Excel Data Formatting and Table Design
- Section 9 Excel Data Analysis with PivotTables
- Section 10 Excel Data Charts and Visualization
- Section 11 Introduction to PostgreSQL
- Section 12 PostgreSQL Setting up Server Environment
- Section 13 SQL Fundamentals
- Section 14 Database SQL Tables
- Section 15 SQL Commands (CRUD functionality) Queries
- Section 16 Mastering the Basics of SQL
- Section 17 Data Management: Data Row Filtering Techniques
- Section 18 Data Management: Aggregate Functions in SQL for Analysis
- Section 19 Data Management: Advanced Aggregate Functions in SQL
- Section 20 Data Management: JOINS in SQL - Combining Data Across Tables
- Section 21 Data Management: Mastering SQL Constraints for Data Integrity
- Section 22 Database Management: Ensuring Data Security with Backup and Restore
- Section 23 Database Management: Capstone Project
- Section 24 Database - Data Management: Managing Users and Roles
- Section 25 Introduction to Power BI
- Section 26 Setting up Power BI Desktop Environment
- Section 27 Connecting and Shaping Data
- Section 28 Data Modelling in Power BI
- Section 29 Data Analysis Expressions (DAX) in Power BI
- Section 30 DAX Aggregations
- Section 31 Data Visualization in Power BI
- Section 32 Project: Designing Interactive Dashboards in Power BI
- Section 33 ChatGPT Open AI - Introduction
- Section 34 Python Setting up Local Development Environment
- Section 35 Python Basics Using ChatGPT AI for Fast Learning
- Section 36 Python Intermediate Using ChatGPT: Beyond the Basics
- Section 37 Python Games using ChatGPT AI
- Section 38 Python OOPs Mastery: Advanced Concepts with ChatGPT
- Section 39 Python Pandas Using ChatGPT AI: Data Analysis Made Easy
- Section 40 Pandas Create and Loading Data
- Section 41 Exploring Data Efficiently with Pandas: Key Techniques and Insights
- Section 42 Pandas Data Cleaning: Handling Values, Duplicates, and Inconsistencies
- Section 43 Pandas Data Transformation
- Section 44 Pandas Data Aggregations and Grouping
- Section 45 Pandas Data Merging and Joining
- Section 46 Pandas & Matplotlib Data Visualization
What You’ll Learn
- Analyze and visualize data using Excel, SQL, Python, and Power BI, Apply AI techniques to uncover business insights and automate decisions, Clean, transform, and model data using Pandas in Python, Build interactive dashboards and reports in Microsoft Power BI, Solve real-world business problems with data-driven strategies, Communicate insights effectively to stakeholders and teams, Learn how to boost productivity and save time using AI-driven platforms, Complete Coding exercises by practicing real world example exercises
Skills covered in this course
Reviews
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SSamruddhi Wani
It is very beneficial
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MMinh Nguyen
It's greate for someone that want to understand Data Analyst concept, but not for learning. Concepts was greatly explained, however very narrow and repetitive concepts. Most of concepts couldn't match with university's level, much less "apply for job" level And for someone want to proceed on Data Analyst with tech background, this is just not for us. Consider it "1st step course"!
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JJone Tahi
An elegant combination of expert insight and down-to-earth teaching. You can tell it’s built from real experience
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RRoshan Sunar
I found it very surprising that I could create interactive dashboards in Power BI and use AI insights.
