Data Analyst With Generative AI Program
A hands-on Data Analyst With Generative AI program designed to build strong expertise in data analysis, reporting, visualization, generative AI tools and Python-driven business insights.
4 Months Duration
Live Online Interactive Training
Industry-Experienced Faculty
Job-Focused Analytics Curriculum
Generative AI–Driven Learning
Certificate with Secure Verification
100% Placement Support
Ideal for Aspiring Data Analysts
Our training is aligned with nationally recognized skilling initiatives and globally practiced industry methodologies, informed by Skill India, NSDC, NASSCOM FutureSkills, and IBM frameworks.
Tools & Technologies Covered
Advanced Excel for Data Analysis & MIS Reporting
SQL Server for Data Querying & Database Management
Power BI for Interactive Business Dashboards
Python for Data Analysis, Automation & Insights
Generative AI for Smart Data Analysis, Automation & Insight Generation
Data Analyst With Generative AI
About Course
The Data Analyst with Generative AI Program at Skillkesari Academy is a structured, career-focused training designed to build strong expertise in data analysis and business intelligence. The program covers industry-standard tools including Advanced Excel, SQL Server, Power BI, Python, and Generative AI to develop practical analytical and decision-making skills.
Learners gain hands-on experience by working with real-world datasets, applying data cleaning, visualization, and reporting techniques used in professional environments. The inclusion of Generative AI enhances productivity by enabling efficient data processing and smarter insight generation.
The program also includes capstone projects based on real-world business scenarios, ensuring practical exposure and job readiness. It prepares learners for roles such as Data Analyst, Business Analyst, Research Analyst, Data Executive, Python Developer, and AI-enabled analytics roles across industries.
Course Curriculum
Advance Excel
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Preparing Techniques With Data Cleaning, Organizing & Transformation
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Use Of Lookup & Reference Formulas (VLOOKUP, XLOOKUP, INDEX-MATCH)
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Data Visualization & Better Insights With Conditional Formatting
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TEXT, DATE, LOGICAL, IFs, SUMIFS, COUNTIFS, Etc. Analytics Excel Functions
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Creating Pivot Tables, Pivot Charts & Interactive Slicers
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Structured Referencing & Data Validation With Advance Methodiology
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Structured Referencing & Data Validation With Advance Methodiology
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Automating Tasks With Power Query
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Designing Professional Excel Chart
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Designing Professional Excel Dashboards
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Macros For Repetitive Tasks
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Practical Business-Based Excel Case Studies
SQL Server
Power BI
Python
Benefits Obtained :
- Course Duration: 4 Months
- Weekend & Weekdays both available
- Generative AI-Supported Training
- 102 downloadable resources of your classes
- Access on mobile and TV
- 6 coding exercises
- Course Completion Certificate with verification code
- 100% Placement Support
- Lifetime Study Material Access
Data Analyst with Generative AI
Establish a high-demand career in analytics with the Data Analyst with Generative AI program at Skillkesari Academy. This training is designed to develop expertise in data processing, analytical techniques, and insight generation using modern business tools.
The program provides exposure to Advanced Excel, SQL Server, Power BI, Python, and Generative AI, enabling learners to work on real-world datasets, perform structured analysis, and create professional dashboards and reports.
It emphasizes data interpretation, automation, and intelligent workflows to improve efficiency and decision-making. This course is ideal for individuals aiming to build or advance in data analytics, python devloper, business intelligence, research Analyst and AI-driven roles.
Tools You Will Learn
What is a Data Analyst?
A Data Analyst is a professional who collects, processes, and evaluates structured and unstructured data to generate meaningful insights that support business strategies. They play a vital role in identifying patterns, measuring performance, and improving decision-making processes.
In a data-centric environment, Data Analysts utilize tools such as Excel, SQL, Power BI, Python, and Generative AI to handle large datasets, perform detailed analysis, and present information through clear visualizations and reports. Their expertise helps organizations optimize operations, reduce uncertainties, and achieve sustainable growth.
What Will You Learn in This Program?
This 4-month job-oriented Data Analyst with Generative AI program is structured to develop analytical thinking, reporting proficiency, and Python-driven data handling skills aligned with real-world business use cases.
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Business Analytics Fundamentals and Structured Analytical Problem-Solving
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Advanced Excel for Data Cleaning, Analysis, and Professional MIS Reporting
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SQL for Data Extraction, Query Optimization, and Database-Level Analysis
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Power BI for Interactive Dashboards, KPI Monitoring, and Business Insights
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Python Programming for Data Manipulation, Automation, and Exploratory Analytics
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Industry-Driven Analytics Projects, Generative AI-Assisted Analysis Techniques, with Career Exposure
Ready to Start Your Data Analyst with Generative AI Journey?
Build strong analytics and Python skills through practical, industry-aligned training with career support.
Program Highlights
live online classes focused on practical data analytics and reporting use cases
Lifetime access to class recordings, guided assignments, and downloadable learning resources
Hands-on training with Excel, SQL, Power BI, and Python aligned to analyst job roles
Real business datasets to strengthen analytical thinking and data-driven decision making
Capstone Project Based on Real-World Business Problems covering analysis, dashboards, and insights
Generative AI Assisted Productivity Techniques for Smarter Workflows in analytics and reporting tasks
Resume building and analyst profile structuring aligned with current industry expectations
Interview preparation through analytics case discussions and guidance
Portfolio making on for LinkedIn, GitHub, Kaggle & Fiverr with guided project presentation
Role-based mock Interviews and career readiness preparation
Course completion certificate with secure verification for authenticity and validation
100% Placement Support
Capstone Projects You Will Work On
Sales Performance Analysis
Analyze real-world sales datasets to identify trends, revenue drivers, and performance metrics used by retail and e-commerce companies.
Customer Segmentation
Build customer segments using structured data analysis techniques applied in banking, telecom, and FMCG organizations.
Financial Reporting Dashboard
Create executive-style dashboards to track revenue, expenses, profitability, and KPIs similar to corporate MIS reports.
Marketing Campaign Analysis
Measure marketing ROI and campaign effectiveness using analytics frameworks adopted by digital marketing teams.
Operations & Inventory Analytics
Analyze supply chain and inventory data to optimize stock levels, forecasting, and operational efficiency.
Python-Based Analytics Project
Apply Python for data cleaning, analysis, visualization, and insight generation using industry-relevant datasets.
Market Insights
Reports published by NASSCOM and global workforce studies indicate strong demand for professionals skilled in data analytics, AI automation, and Python-based reporting between 2024 and 2032.
Industry research from McKinsey Global Institute and IBM Analytics highlights analytics-driven roles as a key hiring focus across BFSI, IT services, e-commerce, and consulting firms worldwide.
7M+
Global analytics and automation roles expected across industries
28%+
Growth in analytics & Python-enabled decision roles by 2030
₹6 – ₹18 LPA
Average annual salary range for Analytics & Python professionals in India
Testimonials
Trusted by Thousand of Students
0
★★★★★ Rated 5 out of 5
Google Reviews
“The Data Science course gave me strong conceptual clarity along with practical exposure. Every topic was explained patiently by the trainers, which made complex concepts easier to understand. The interview guidance and career support helped me feel more confident and prepared while applying for job opportunities.”
★★★★★ Rated 5 out of 5
Mohit Agarwal
“I gained a clear understanding of data visualization, and working with Power BI helped me present insights in a more structured and professional manner.”
★★★★★ Rated 5 out of 5
Himanshi Dixit
“The course had a good balance of core concepts and practical usage, and learning Python in this way made ideas easy to apply. Ghanshyam Sir’s support was always available whenever I needed help.”
★★★★★ Rated 5 out of 5
Prateek
“Choosing this program was a great decision for me. The Data Analyst training was aligned with current industry needs, and the hands-on projects helped me apply concepts to real-world scenarios.”
★★★★★ Rated 5 out of 5
Amit Sharma
“I really enjoyed the Data Science training experience. The course started from the basics and gradually covered modern tools and frameworks. The practical approach helped me understand the concepts clearly”
★★★★★ Rated 5 out of 5
Sonal Jha
“The Excel training helped me build a strong foundation in data handling, reporting, and analysis. The practical exercises made concepts easy to apply in real work. Skillkesari Academy supported me at every step with placement guidance, which helped me secure an MIS role.”
★★★★★ Rated 5 out of 5
Abhay mahajan
Placement Support Through Industry Network
Frequently Asked Questions (FAQ)
What does Data Analytics mean and how is it useful for businesses?
Data Analytics involves examining raw data to identify patterns, trends, and insights that support smarter decision-making. Organizations use analytics to improve efficiency, understand customers better, and drive data-backed growth.
Is a technical or IT background mandatory for learning Data Analytics?
No. This course is designed for both technical and non-technical learners. Individuals from commerce, finance, marketing, sales, operations, or any other background can comfortably learn data analytics with basic computer knowledge.
Can I access the course materials after completion?
Yes, you get lifetime access to downloadable class recordings, assignments, datasets, and practice files, so you can continue learning and working on analytics projects anytime.
Which tools and software are included in the training?
This course covers Advanced Excel, SQL, Power BI, and Python for data analysis, along with Generative AI, reporting techniques, data visualization, automation and industry-relevant analytical workflows.
What career opportunities are available after completing a Data Analytics With Generative AI course?
After completing the program, learners can explore roles such as:
Data Analyst
Business Analyst
Research Analyst
Python Developer
Power BI Developer/Analyst
MIS Analyst
Reporting Analyst
AI-enabled analytics roles
Junior Data Scientist and more
These roles are available across multiple industries including IT, finance, healthcare, e-commerce, and consulting.
Do learners receive any certification after finishing the program?
Yes. On successful completion, learners are awarded a Course Completion Certificate with a unique verification code, which can be verified by employers, HR teams, institutions, and verification agencies through our official website.
What kind of career or placement assistance is provided?
The program includes 100% placement support, covering resume building, interview preparation, mock interviews, portfolio development, and profile optimization on platforms like LinkedIn, GitHub, Kaggle, and Fiverr.
In what way does this course help prepare for data analyst roles?
The training focuses on hands-on analytics tasks, real reporting scenarios, Generative AI tools, Python-based data handling, and visualization projects, ensuring learners are well-prepared for real-world data analytics job roles.
Limited Seats Available for This Batch
Admissions are open for a limited number of learners to ensure focused learning. Secure your seat and begin your Data Analyst With Generative AI journey.
Apply Now