Certified Data Analytics with Generative AI Professional

Master Data Analytics with Gen AI — Excel — SQL • Python • Power BI • Generative AI

Generative AI is transforming the way professionals collect, analyze, interpret, and visualize data. This program combines essential data analytics skills with Generative AI tools to help learners automate repetitive tasks, generate insights, create reports, and make data-driven decisions more efficiently.

Learn how to work with Excel, SQL, Python, Power BI, and Generative AI tools through practical exercises and real-world business scenarios. Develop the skills to analyze complex datasets, build interactive dashboards, automate workflows, and communicate meaningful insights using AI-assisted techniques.

  • Comprehensive Data Analytics and Generative AI Curriculum
  • Hands-on Projects with Real-World Datasets
  • AI-Powered Data Analysis, Visualization, and Reporting
Enroll Now Download Brochure
5 months
Course Duration
Advanced
Course Level
Online
Course Delivery
Start Your Research Journey

Request Program Details

Speak with our admissions team about the online Doctorate in Computer Science.

Solve: 3 + 4 = ?

Program Highlights

The Data Analytics with Gen AI Certification Training combines traditional analytics techniques with modern AI-powered tools. Learn to clean and analyze data, generate SQL queries and Python code with AI assistance, build dashboards, automate reports, and communicate insights effectively.

💻 Instructor-Led Training and Practical Learning
🎥 Recorded Video Sessions for Flexible Learning
👨‍🏫 Industry Expert Guidance and Learner Support
📄 Hands-on Exercises with AI-Assisted Data Analysis
💳 Real-World Business Intelligence Projects
📞 Resume Preparation and Career Guidance

Why Choose Data Analytics with Gen AI Certification Training?

Combine Data Analytics Skills with Generative AI

Develop the ability to analyze data using traditional analytical tools and Generative AI assistants. Learn how AI can support data cleaning, query writing, code generation, visualization, report preparation, and insight discovery while understanding the importance of validating AI-generated results.

Comprehensive Curriculum
Excel, SQL, Python, Power BI, Data Visualization, Generative AI, and Prompt Engineering.
AI-Assisted Learning
Explore how Generative AI can help explain datasets, suggest analytical approaches, generate formulas, and support coding and reporting tasks.
Hands-on Labs and Projects
Practice data cleaning, exploratory data analysis, dashboard creation, AI-assisted reporting, and workflow automation.
Practical Certification Preparation
Build job-relevant skills and prepare for the applicable certification or course assessment, subject to the selected program.
Enroll Now Course Curriculum
365
Days Lab Access
50+
Hands-On Projects
Data Science
Certification Program
Advanced Training
Data analytics dashboard with AI-generated insights

Data Analytics with Gen AI Certification Training

The Data Analytics with Gen AI program helps learners combine analytical thinking with Generative AI capabilities to solve practical business problems. Develop expertise in working with structured data, exploring trends, creating visualizations, and generating reports with the support of AI tools.

Learn to use AI assistants to speed up repetitive tasks, understand complex analytical concepts, and improve productivity without compromising data accuracy, privacy, or analytical quality.

Develop skills relevant to modern data analytics, business intelligence, reporting, and AI-assisted business operations.

Program Level

What You Will Learn

Data Analytics Fundamentals
  • Introduction to data analytics and business intelligence
  • Understanding structured and unstructured data
  • Data collection, organization, and preparation
  • Descriptive statistics and analytical thinking
  • Exploratory data analysis and trend identification
  • Understanding KPIs and business performance metrics
2. Excel for Data Analytics with AI
  • Data cleaning, formatting, sorting, and filtering
  • Excel formulas, functions, and lookup operations
  • PivotTables, PivotCharts, and conditional formatting
  • Using AI assistants to understand formulas and functions
  • Generating formula suggestions for analytical tasks
  • Creating business reports and summarizing findings
3. SQL and AI-Assisted Database Analysis
  • Introduction to relational databases and SQL
  • Retrieving, filtering, and sorting data
  • Aggregate functions, joins, grouping, and subqueries
  • Generating SQL query drafts with Generative AI
  • Explaining complex SQL queries using AI assistants
  • Validating query results and identifying potential errors
4. Python for Data Analytics with Gen AI
  • Python fundamentals for data analysis
  • Working with Pandas and NumPy
  • Data cleaning, transformation, and manipulation
  • Exploratory data analysis using Python
  • Using AI assistants to generate and explain Python code
  • Data visualization using Matplotlib and Seaborn
  • Debugging and validating AI-generated code
5. Generative AI and Prompt Engineering for Data Analytics
  • Introduction to Generative AI and large language models
  • Understanding how AI assistants support analytical workflows
  • Prompt engineering techniques for data-related tasks
  • Writing effective prompts for analysis and reporting
  • Using AI to summarize datasets and explain trends
  • Generating analytical hypotheses and follow-up questions
  • Identifying hallucinations, inaccurate outputs, and reasoning limitations
  • Data privacy, responsible AI use, and output verification
6. Power BI, Tableau, and AI-Powered Visualization
  • Connecting and preparing data from different sources
  • Creating reports, charts, and interactive dashboards
  • Developing KPIs and business performance visualizations
  • Exploring AI-assisted report creation and analysis features
  • Using natural-language questions where supported by the platform
  • Creating clear, actionable data stories
  • Validating AI-generated summaries against the underlying data
7. AI-Powered Reporting and Workflow Automation
  • Generating initial drafts of analytical reports using AI
  • Summarizing business performance and key findings
  • Automating repetitive reporting tasks where appropriate
  • Using Python and AI-assisted workflows for data processing
  • Creating reusable prompts and analytical templates
  • Improving productivity through structured analytics workflows
  • Reviewing outputs for accuracy, consistency, and business relevance
8. Hands-on Projects and Career Preparation
  • Sales and revenue analysis with AI-assisted insights
  • Customer behavior and segmentation analysis
  • Business performance dashboards
  • Financial and operational reporting
  • AI-assisted exploratory data analysis
  • Automated report generation and insight summaries
  • Portfolio development and interview preparation

Core Traits You’ll Build

Analytical ThinkingPrompt EngineeringProblem-SolvingData InterpretationAI LiteracyCritical ThinkingBusiness Communication

Your Data Analytics with Gen AI Skill Set

Develop a practical, AI-assisted approach to data analysis. Learn how to combine analytical tools, Generative AI assistants, and business knowledge to explore datasets, identify trends, generate visualizations, and communicate insights more efficiently.

Understand when to use AI, when to validate its output, and how to maintain accuracy and data confidentiality throughout the analytical process.

Official Data Analytics with Gen AI Certification

Build practical skills in data analytics and Generative AI to prepare for the evolving demands of data-driven businesses. Learn how AI assistants can support data exploration, coding, reporting, visualization, and analytical workflows.

Data Science Certificate

Become a Data Analytics Professional with Gen AI Skills

Develop a combination of traditional analytics expertise and AI-assisted productivity skills.

  • Master Data Analysis Fundamentals and Excel
  • Learn SQL and AI-Assisted Query Writing
  • Analyze Datasets Using Python and Its Data Libraries
  • Apply Generative AI and Prompt Engineering Techniques
  • Develop Interactive Dashboards with Power BI or Tableau
  • Create AI-Assisted Reports and Business Insights
  • Validate AI Outputs and Apply Responsible AI Practices
  • Build Practical Projects for Your Professional Portfolio

Tools & Technologies Covered

Microsoft Excel

Data cleaning, formulas, pivot tables, and reporting.

SQL & Databases

Query, filter, join, and analyze structured datasets.

Python

Automate analysis and explore data using libraries.

Power BI

Create interactive dashboards and business reports.

Tableau

Visualize trends and communicate analytical findings.

Pandas

Clean, manipulate, and analyze datasets with Python.

NumPy

Perform numerical calculations and array-based analysis.

Statistics

Apply descriptive and inferential statistics to identify patterns, test hypotheses, and draw reliable conclusions from data.

ChatGPT

Utilize generative AI to enhance data analysis, automate reporting, and improve decision-making processes.

Copilot

Copilot integrates with your development environment to provide intelligent code completion and suggestions.

Data Analytics with Gen AI Certification Training

Generative AI is changing how businesses approach data analysis, reporting, and decision-making. AI assistants can help analysts write code, explore datasets, explain trends, generate report drafts, and automate parts of repetitive workflows.

However, effective analytics still requires critical thinking, data validation, domain knowledge, and an understanding of the limitations of AI-generated results.

This program helps learners build a foundation in data analytics while exploring practical applications of Generative AI in business intelligence and reporting.

Organizations increasingly need professionals who can interpret data, communicate insights, and use modern digital tools effectively. Combining data analytics knowledge with Generative AI skills can help professionals improve productivity, streamline analytical tasks, and support better business decisions.

Work with business datasets and practical case studies involving sales, customer behavior, revenue, and operational performance. Explore how AI assistants can support data cleaning, SQL query development, Python programming, visualization, and report writing.

Develop skills relevant to roles such as Data Analyst, Business Intelligence Analyst, Reporting Analyst, Power BI Developer, and AI-enabled Business Analyst, depending on your experience and technical proficiency.

Student Testimonials

Rahul Sharma

Lokesh Dandamudi

★★★★★

I had an excellent experience with Securium Academy! The courses are well-structured, up-to-date, and tailored to meet industry standards, especially in the field of cybersecurity. The instructors are highly knowledgeable and supportive, breaking down complex topics into easily understandable modules. What stood out the most was their hands-on approach with practical labs, real-world scenarios, and continuous mentoring. Whether you're a beginner or looking to advance your career, Securium Academy offers the right blend of theory and practice. Highly recommended for anyone serious about building a strong foundation in cybersecurity!

Lajin C P

★★★★★

Exam was very nice.. It was an excellent experience.. I highly recommend everyone who is highly passionate in cyber security field should attend this exam.

user

Malle Ganesh

★★★★★

My overall experience is soo Good with Securium Academy. They have excellent trainers with Good teaching Skills. Especially My trainer so good in CYBER SECURITY knowledge with excellent practical knowledge. They also providing Coupons for the certifications

user

Alka Sajeevan P

★★★★★

Happy to share that I have successfully earned the Certified Ethical Hacker (CEH) certification from EC-Council! This achievement has deepened my understanding of ethical hacking methodologies, penetration testing, and advanced cybersecurity concepts — empowering me to identify, analyze, and secure systems against evolving cyber threats.

user

Sreelakshmi Suresh

★★★★★

I recently completed the Certified Secure Computer User (CSCU) certification, and I must say it was an excellent experience! The CSCU program is well-structured and beginner-friendly, making it perfect for anyone looking to build a strong foundation in cybersecurity awareness, internet safety, and digital hygiene.

Trusted by Learners

Discover what our learners think about us

Frequently Asked Questions

Data Analytics with Gen AI combines traditional data analysis techniques with Generative AI tools. It teaches learners to analyze datasets, generate and explain code, create visualizations, prepare reports, and explore insights using AI assistance alongside established analytical methods.

This course is suitable for students, graduates, working professionals, data analysts, business intelligence professionals, and business users who want to develop data analytics skills and understand how Generative AI can support their work.

The curriculum may include:
  • Data Analytics Fundamentals
  • Excel for Data Analysis
  • SQL and Database Analysis
  • Python for Data Analytics
  • Generative AI Fundamentals
  • Prompt Engineering for Analytics
  • AI-Assisted Data Cleaning and Exploration
  • Power BI and Tableau
  • AI-Assisted Reporting and Visualization
  • Workflow Automation and Practical Projects

Prior experience is not necessarily required for a beginner-level program. Basic computer skills and an interest in working with data are helpful. Learners can start with Excel and data analytics fundamentals before progressing to SQL, Python, and AI-assisted workflows.

Generative AI can help draft SQL queries, explain Python code, suggest spreadsheet formulas, summarize analytical findings, identify possible trends, and prepare initial report drafts. Its outputs must be checked against the source data because AI can generate incorrect formulas, code, or conclusions.

Depending on the final curriculum, learners may work with Excel, SQL, Python, Pandas, NumPy, Power BI, Tableau, and Generative AI assistants. The specific tools and their versions should be confirmed with the course provider.

The proposed curriculum includes practical projects involving sales analysis, customer behavior, business dashboards, and AI-assisted reporting. Confirm the final project requirements and hands-on training inclusions before enrollment.

Depending on their prior experience and practical skills, learners may explore opportunities such as Data Analyst, Reporting Analyst, Business Intelligence Analyst, Power BI Developer, and AI-enabled Business Analyst. Job requirements vary by employer and role.

Yes. The skills covered can be useful for professionals who work with reports, spreadsheets, databases, dashboards, and business performance metrics. The available schedule and learning format should be confirmed before enrollment.

The course duration and fee depend on the actual training package, delivery format, learning resources, and certification inclusions. Contact Securium Academy for the confirmed duration, current fee, and available payment options.

Certificate eligibility depends on the selected program. Confirm whether enrollment includes a certificate of course completion, an external certification examination, or both.

Generative AI can automate or accelerate some repetitive analytical tasks, but effective data analysis still requires critical thinking, data quality assessment, business understanding, validation, and communication skills. Learning to use AI responsibly can help analysts adapt to changing workplace requirements.

A traditional Data Analytics course focuses on tools and techniques for data preparation, analysis, visualization, and reporting. A Data Analytics with Gen AI course adds AI-assisted code generation, prompt engineering, analytical summaries, and workflow support to those foundational skills.

Yes. Beginners can learn data analytics fundamentals and gradually introduce Generative AI tools into their workflow. Understanding basic data concepts before relying on AI-generated analysis helps learners evaluate results more effectively.

Request More Details

Solve: 3 + 4 = ?
Enter the result of the math question above.
×

Book Demo

×

Connect With Expert

Solve: 3 + 4 = ?
Enter the result of the math question above.
Connect With Expert
×

Apply Now

Solve: 3 + 4 = ?
Enter the result of the math question above.
×

Apply Now

Solve: 3 + 4 = ?
Enter the result of the math question above.