Business Data Analytics Bootcamp: Master AI-Powered Insights
Transform & Visualize Data with Excel, SQL, Power BI, Python, Pandas, Matplotlib & ChatGPT AI for Business Decisions
Business,Business Analytics and Intelligence,
Lectures -211
Duration -20 hours
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Course Description
Employing these tools to automate tasks, increase efficiency, improve decision-making, simplify processes, identify trends, actionable insights, improve productivity, achieve competitive edge, convert information into insight, business expansion.
Along the way, you'll acquire the skills to clean, analyze, and visualize data, build interactive dashboards, and use AI-powered analytics to drive business decisions. Learn SQL to effectively pull data, Power BI to build compelling visual stories, and Pandas and Matplotlib in Python to conduct advanced analytics. Learn too how AI-powered tools like Chat GPT can be used to help augment your data interpretation and strategy development capabilities.
Whether you're a budding entrepreneur, business professional, or aspiring data analyst, this bootcamp provides a step-by-step, hands-on approach to applying data to real business challenges. No coding skills? Don't worry! Our guided learning path gets beginners and experts alike job-ready data analytics skills.
Become part of the thousands of professionals who are turning their careers around with business analytics powered by AI. Future-proof your career - Join now and begin your journey to becoming a data-driven decision-maker!
For whom the course is designed:
Business professionals who want to improve decision-making based on data-driven insights
Prospective data analysts who would like to gain employment-ready analytical skills
Entrepreneurs and business founders seeking to leverage data for business growth
Marketing and sales executives seeking to gain maximum effectiveness from AI-powered analytics
Accounting and finance professionals interested in data analysis for reporting and forecasting
Operations and supply chain professionals who are interested in automating processes using data
IT experts and coders who are keen on adding data analytics to their repertoire
Recent graduates and students who want to have a career in business analytics Any individual who wants to learn about applying AI and automation to business intelligence Those interested in taking the jump into data-intensive roles in any industry
Goals
- Understand the fundamentals of business data analytics and AI-based insights
- Learn how AI, such as ChatGPT, enhances data interpretation and decision-making
- Master essential Excel functions for data cleaning, analysis, and visualization
- Use PivotTables, Power Query, and advanced formulas for best-in-class data management
- Write SQL queries to extract, filter, and manipulate data from databases
- Perform joins, aggregations, and advanced queries for deeper insights
- Create interactive dashboards and reports using Power BI
- Interconnect multiple sources of data and apply DAX functions for advanced analytics
- Gain exposure to basic Python and apply Pandas for data manipulation
- Apply Matplotlib for data visualization and trend analysis
- Apply ChatGPT to automate reports and data analysis
- Create AI-driven insights to better business strategies
- Work on hands-on projects using real business datasets
- Apply data analytics to solve real-world business problems and drive decision-making
- Build a portfolio of analytics projects to obtain employment
- Understand industry best practices for being competitive in today's data-driven era
Prerequisites
- No prior coding or analytics experience required—beginners are welcome!
- A computer (Windows or Mac) with internet access
- Basic familiarity with Microsoft Excel is helpful but not mandatory
- Willingness to learn and apply data-driven decision-making
- Enthusiasm to work with real-world datasets and AI-powered tools
- Power BI (free or Pro version) and SQL installation recommended for hands-on practice - (step by step installation explained)
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
4 Lectures
-
Introduction 02:51 02:51
-
Start on windows, macOS, and linux 01:58 01:58
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How to ask great questions 01:49 01:49
-
FAQs 01:30 01:30
Introduction to business data analytics
4 Lectures
Excel data basics
7 Lectures
Excel formulas and functions
11 Lectures
Excel XLOOKUP only for excel 2021 and office 365
3 Lectures
Excel data transforming and importing
6 Lectures
Excel data formatting and table design
5 Lectures
Excel data analysis with pivottables
4 Lectures
Excel charts and data visualization
10 Lectures
Microsoft SQL server setting up
6 Lectures
SQL azure data studio
7 Lectures
SQL database basics: getting started with SSMS
9 Lectures
SQL statements for data: Querying, Modifying, and managing information
3 Lectures
SQL statements basic
5 Lectures
Data management: data filtering
2 Lectures
Data management: aggregate functions
2 Lectures
Data management: SQL conditional clause query statements
5 Lectures
Data management: SQL group by statement
3 Lectures
Data management: joins in sQL- combining data across tables
7 Lectures
SQL server azure data studio visualization
3 Lectures
SQL server azure studio SQL for data analysis
2 Lectures
SQL server importing & exporting data
3 Lectures
SQL server secure backup and restore database
2 Lectures
Microsoft power BI- introduction
5 Lectures
Power BI- setting up desktop environment
3 Lectures
Power BI- connecting and shaping data
7 Lectures
Power BI- data modelling
4 Lectures
Power BI-data analysis expressions (DAX)
6 Lectures
Power BI-DAX- time intelligence functions
6 Lectures
Power BI- data visualization
4 Lectures
Power BI-interactive dashboards (sales data-case study)
8 Lectures
Power BI-export-publishing and sharing
4 Lectures
Power BI- mobile app reporting
2 Lectures
ChatGPT open AI -introduction
4 Lectures
Python setting up local development environment
4 Lectures
Python basics using chatGPT AI for fast leaning
5 Lectures
Python intermediate using chatGPT : beyond the basics
5 Lectures
Python games using chatGPT AI
2 Lectures
Python OOPs mastery: advanced concepts wiith chatGPT
7 Lectures
Python pandas using chatGPT AI: data analysis made easy
2 Lectures
Pandas create and loading data
5 Lectures
Exploring data efficiently with pandas: key techniques and insights
6 Lectures
Pandas data cleaning: handling missing values, dupicates
4 Lectures
Pandas data transformation
1 Lectures
Pandas data aggregations and grouping
2 Lectures
Pandas data merging and joining
1 Lectures
Pandas & matplotlib data visualization
1 Lectures
Instructor Details
Metla sudha sekhar
Metla Sudha Sekhar is a passionate educator, technologist, and mentor with years of experience in teaching programming, artificial intelligence, and digital transformation skills. Known for his practical and easy-to-understand teaching style, he has helped thousands of learners — from beginners to professionals — build strong foundations in technology and enhance their career opportunities.
With expertise in Generative AI, Python, Java, Microsoft Office tools, and Digital Marketing, Sudha Sekhar focuses on delivering hands-on, real-world learning experiences rather than just theory. His courses are structured step-by-step, making even complex topics simple and approachable.
He strongly believes in “learning by doing” and designs courses with projects, exercises, and lifetime access so students can learn at their own pace.
Whether you’re a student, job seeker, or working professional looking to upgrade your skills, Sudha Sekhar’s courses empower you to stay ahead in today’s fast-changing digital world.
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