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.
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
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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Call: +91 9908099980Prerequisites & 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
Why Choose GloryTecks
Build practical capabilities through structured learning, expert mentors and hands-on projects.
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?
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How is this different from the Data Analytics course?
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Which AI tools are used?
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How long is the Data Analytics with AI course at GloryTecks, and how many hours a week?
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Best Data Analytics with AI Training in
Ameerpet, Hyderabad
Located at Ameerpet β Hyderabadβs IT training hub. Easily accessible from all areas of Hyderabad. Just 2 minutes walk from Ameerpet Metro Station.
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.