Data Science & Analytics

Data Analytics with AI Course in Hyderabad

Combine data analytics skills with AI tools to find insights faster

The Data Analytics with AI course teaches you the full analyst toolkit and how to use AI assistants to work faster and more carefully. You start with Excel, SQL and statistics, then learn Python with pandas for data cleaning and analysis, data visualisation and dashboards in Power BI, and storytelling with data. In parallel, you learn to use generative AI responsibly in analytics: writing prompts for SQL and Python help, explaining queries, summarising findings, generating charts and documentation, using natural-language data tools, and checking every AI result for errors. Later modules introduce predictive analytics with scikit-learn, forecasting, A/B testing, customer and sales analytics, data privacy and AI governance. You practise on realistic business datasets and finish with a capstone dashboard and report. The course suits graduates, working professionals and career switchers; no prior programming is required. It differs from the Data Analytics course by integrating AI-assisted workflows throughout. Classes run in classroom batches at the GloryTecks centre in Ameerpet, Hyderabad, and in live online batches.

Duration
4 Months
Modules
12+ topics
Placement
100% Support
Certification
Industry Recognized

Syllabus

Analytics Foundations & AI Assistants

  • β€’The analytics life cycle and types of analytics: descriptive, diagnostic, predictive and prescriptive
  • β€’How AI assistants work, where they help and where they fail
  • β€’Data privacy rules for using AI with business data
  • β€’Lab: Compare an AI answer with a verified calculation and note the errors
  • β€’Outcome: Use AI as a checked assistant, not an oracle

Excel for Analysis

  • β€’Formulas, lookups with XLOOKUP, logical and text functions
  • β€’Pivot tables, charts and data validation
  • β€’Power Query basics and AI-assisted formula writing
  • β€’Lab: Build a sales analysis workbook with pivots
  • β€’Outcome: Do fast, reliable analysis in Excel

SQL for Analytics

  • β€’Filtering, sorting, joins and aggregations
  • β€’Subqueries, CTEs and window functions
  • β€’Using AI to draft, explain and debug queries, then verifying results
  • β€’Lab: Answer ten business questions with SQL
  • β€’Outcome: Extract and summarise data from databases

Statistics for Analysts

  • β€’Mean, median, variance, percentiles and distributions
  • β€’Sampling, confidence intervals and hypothesis tests
  • β€’Correlation versus causation; A/B test basics
  • β€’Lab: Test whether a campaign changed conversion
  • β€’Outcome: Support conclusions with statistics

Python & pandas for Analysis

  • β€’Python basics for analysts
  • β€’pandas: loading, cleaning, merging, grouping and reshaping
  • β€’AI help for code: prompts, review and testing outputs
  • β€’Lab: Clean a messy dataset and compute key metrics
  • β€’Outcome: Automate repeatable analysis

Data Visualisation & Storytelling

  • β€’Choosing the right chart; avoiding misleading visuals
  • β€’Plotting with Matplotlib and Seaborn
  • β€’Data storytelling: headline, evidence and recommendation
  • β€’Lab: Turn an analysis into a three-slide story
  • β€’Outcome: Communicate insights clearly

Power BI Dashboards

  • β€’Loading and transforming data with Power Query
  • β€’Relationships, measures and DAX basics
  • β€’Dashboard design, interactivity and publishing; Copilot features at an overview level
  • β€’Lab: Build an executive sales dashboard
  • β€’Outcome: Build interactive dashboards

AI-Assisted Analytics Workflows

  • β€’Prompt patterns for analysis plans, code and commentary
  • β€’Summarising findings and generating documentation
  • β€’Natural-language-to-SQL tools: benefits and failure modes
  • β€’Lab: Build an AI-assisted workflow with verification checklist
  • β€’Outcome: Save time without losing accuracy

Predictive Analytics Basics

  • β€’Linear and logistic regression with scikit-learn
  • β€’Train-test splits, metrics and interpretation
  • β€’Time series forecasting basics
  • β€’Lab: Forecast monthly sales and predict churn
  • β€’Outcome: Add simple predictive models to analysis

Business Analytics Applications

  • β€’KPIs for sales, marketing, finance and operations
  • β€’Customer segmentation, cohort and funnel analysis
  • β€’Root cause analysis and recommendations
  • β€’Lab: Analyse customer retention and propose actions
  • β€’Outcome: Turn data into business recommendations

Data Quality, Privacy & Responsible AI

  • β€’Data validation and reconciliation checks
  • β€’Handling PII, anonymisation and company AI policy
  • β€’Bias, explainability and documenting assumptions
  • β€’Lab: Audit an analysis for data quality and privacy risks
  • β€’Outcome: Produce trustworthy and compliant analysis

Capstone & Interview Preparation

  • β€’Capstone: business analysis with SQL, Python, Power BI and a written recommendation
  • β€’Portfolio, resume and LinkedIn project descriptions
  • β€’SQL, case and metric interview practice
  • β€’Outcome: A portfolio project and interview readiness

Tools Covered

Microsoft ExcelSQLMySQLSQL ServerPythonpandasMatplotlibSeabornscikit-learnMicrosoft Power BIPower QueryDAXChatGPTMicrosoft CopilotGoogle GeminiJupyter NotebookGoogle ColabGit

Projects Included

  • Sales Performance Workbook: Analyse sales with pivots and charts in Excel; deliverable is a workbook with insights.
  • SQL Business Questions Pack: Answer ten business questions on a retail database; deliverable is a query set and findings.
  • Customer Retention Analysis: Run cohort and churn analysis with Python and pandas; deliverable is a notebook and recommendation memo.
  • Executive Dashboard in Power BI: Build an interactive dashboard with KPIs and drill-down; deliverable is a published report.
  • Capstone AI-Assisted Analytics Project: Complete an end-to-end analysis using AI help with a verification log; deliverable is a dashboard, report and GitHub repository.

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Prerequisites & Eligibility

Understand the foundation and skills needed to succeed in the Data Analytics with AI course.

Course Prerequisites

  • Any graduate is eligible for enrollment across all program tracks
  • Dedication to work on real-time scenario projects and live client project implementations
  • Willingness to engage in aptitude, soft skills and interview readiness sessions
  • Commitment to complete full-day training or intensive/internship program schedules
Special Note: The Data Analytics with AI course is designed for aspiring professionals. Our trainers and counselors will provide personalised guidance to help you start your Data Analytics with AI journey, with placement assistance available across multiple program options.

Why Choose GloryTecks

Build practical capabilities through structured learning, expert mentors and hands-on projects.

5+
Years Experience
800+
Students Trained
50+
Hiring Partners
95%
Placement Rate

5+ Years of Excellence

Established training institute in Hyderabad with a proven track record of producing industry-ready professionals.

Expert Faculty

Learn from trainers with real-world industry experience, who teach the way the work is actually done.

Placement Assistance

A dedicated placement team with tie-ups across hiring companies. We support you until you get hired.

Comprehensive Curriculum

Updated syllabus covering the latest technologies and industry best practices, with hands-on projects.

Career Growth Focus

Not just training, but complete career transformation with soft skills and interview preparation.

Online & Classroom

Attend live online batches or classroom training at our Ameerpet centre, whichever suits you.

Flexible Batches

Weekday, weekend and online batch timings to suit working professionals, students and freshers.

Real-time Projects

Work on real-time scenario projects so you finish with practical experience to show employers.

We provide placement support with direct access to hiring companies, along with comprehensive training that helps freshers become job-ready professionals.

Certification

Explore certification and practical learning opportunities with a focus on Data Analytics with AI.

Certificate of Completion

Data Analytics with AI

This certifies that

[Your Name]

has successfully completed the

Data Analytics with AI
Training Program

GloryTecks

Ameerpet, Hyderabad

Certificate ID

GT-YYYY-XXXX

Certificate Includes

  • Course completion certificate from GloryTecks
  • Project completion certificates
  • Internship completion certificate for eligible internship programs
  • Digital certificate with a unique verification ID
  • Shareable on LinkedIn and other professional platforms
  • Valid proof of skill acquisition for employers
  • Includes the detailed syllabus covered

Industry Focus

A certificate built around the tools and skills employers ask for, adding credibility to your resume.

Skill Validation

Proves your expertise in the course and the technologies you worked with.

Career Advancement

Strengthens your profile when you apply for jobs and negotiate your salary.

Digital & Physical

Get a digital certificate for online sharing and a physical copy for framing.

Course Certificate

Upon successful completion of the training program

Project Certificate

For major projects completed during training

Course Features & Highlights

Build a strong foundation through a structured Data Analytics with AI course with practical learning and hands-on exposure.

Live Projects

Work on real-world projects from day one with industry use cases.

Expert Trainers

Learn from industry professionals with real-world experience.

Placement Support

Dedicated placement team with assistance until you get hired.

Industry Certification

Get certified and boost your resume with recognized credentials.

LMS Access

Access to learning materials and recorded sessions.

Mock Interviews

Weekly mock interviews to prepare you for real job scenarios.

Resume Building

Professional resume preparation and LinkedIn profile optimization.

Additional Benefits

  • Flexible Payment Plans
  • 6-12 Months LMS Access
  • Doubt Clearing Sessions
  • 24/7 Learning Support

Frequently asked questions

What does the Data Analytics with AI course syllabus cover?

12 sections: Analytics Foundations & AI Assistants, Excel for Analysis, SQL for Analytics, Statistics for Analysts, Python & pandas for Analysis, Data Visualisation & Storytelling, Power BI Dashboards, AI-Assisted Analytics Workflows, Predictive Analytics Basics, Business Analytics Applications, Data Quality, Privacy & Responsible AI and Capstone & Interview Preparation. It includes 5 projects: Sales Performance Workbook, SQL Business Questions Pack, Customer Retention Analysis and 2 more.

Do I need coding skills to join Data Analytics with AI?

No. SQL and Python are taught from the basics, and Excel and Power BI need no coding.

How is this different from the Data Analytics course?

The core analytics toolkit is similar. This course adds AI-assisted workflows, prompting, verification practice and AI governance throughout.

Will AI replace data analysts?

AI automates parts of analysis but analysts still frame questions, verify results and communicate decisions. The course teaches you to use AI as an assistant.

Which AI tools are used?

General assistants and Microsoft Copilot features where available. Tools and licensing change, so trainers use current options and teach tool-independent habits.

Is Tableau included?

Power BI is the main tool. The Tableau and Power BI with Tableau courses cover those tools in depth.

Can non-IT graduates join?

Yes. The course starts from fundamentals and uses business datasets.

Which jobs can I target after this course?

Roles include data analyst, business analyst, BI analyst and reporting analyst. Outcomes depend on projects and interviews and are not guaranteed.

How long is the Data Analytics with AI course at GloryTecks, and how many hours a week?

The Data Analytics with AI course runs 4 months. Hours per week depend on the batch you join: weekday and weekend batches are available, online and at the Ameerpet centre. A counsellor gives you the timetable for the batch you choose.

Is the Data Analytics with AI course available as live online training?

Yes. The Data Analytics with AI course runs in live online batches as well as classroom batches at the GloryTecks centre in Ameerpet, with recorded session access.

What is the fee for the Data Analytics with AI course in Hyderabad?

GloryTecks does not publish fees online; they vary by course and by batch. Call +91 99080 99980 or visit the Ameerpet centre for the current Data Analytics with AI fee and the ways to pay it.

Will I get a certificate after the Data Analytics with AI course?

Yes. You receive a GloryTecks course completion certificate. Vendor certifications, for example from Microsoft, AWS or Google, are separate exams that you book and take directly with the vendor; a counsellor can tell you which one, if any, matches this syllabus.

What placement support do Data Analytics with AI students get?

Placement support at GloryTecks means career counselling, resume and ATS-friendly CV preparation, a LinkedIn profile review, mock interviews and introductions to hiring companies. It is support with the job search, not a guarantee of a job.

Best Data Analytics with AI Training in
Ameerpet, Hyderabad

Located at Ameerpet β€” Hyderabad’s IT training hub. Easily accessible from all areas of Hyderabad. Just 2 minutes walk from Ameerpet Metro Station.

611, Annapurna Block, Aditya Enclave, Ameerpet, Hyderabad – 500038, Telangana, India
Mon–Sat: 8AM – 9PM | Sunday: 9AM – 5PM
Get Directions

Placement Support

Career support covers resume and LinkedIn preparation, mock interviews and a portfolio of 5 course projects. Roles that use these skills include Data Analyst, Business Analyst, BI Analyst, Reporting Analyst; support is guidance with the job search, not a guarantee of a job.

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