QEdge Technologies is one of the leading institutes for Data Analytics with AI Training in Hyderabad JNTU (KPHB). We offer both classroom and online training programs designed to help students build strong, job-ready skills in Data Analytics.
With expert trainers and an industry-oriented curriculum, QEdge provides a complete learning experience. We are your one-stop solution for Data Analytics training and job placements, connecting students with top companies through our dedicated placement cell and helping them launch successful careers in Data Analytics.
| Course | Date | Timings | Duration | Trainer | Training Location | Online Zoom Id |
|---|---|---|---|---|---|---|
| Data Analytics with AI | 23-April-2026 | 10:00 AM - 11:30 AM | 4 Months | Mr. Satish | JNTU Offline / Online | Zoom Id: 94709643037 |
✅ 10+ years of industry experience in Data Analytics, Data Science, and Business Intelligence domains.
✅ Worked with top MNCs on real-time projects across finance, healthcare, and retail sectors.
✅ Expert in tools like Excel, SQL, Python (Pandas, NumPy), Power BI, and Tableau.
✅ Strong focus on practical training, real-time case studies, and job-oriented project work.
✅ Provides support in interview preparation, resume building, and career guidance.
Our Online and Offline courses are available across major cities including Hyderabad JNTU (KPHB), Bangalore and Pune. With comprehensive Data Analytics coaching and hands-on training in the latest Data Analytics tools, we are committed to helping you build a successful career in the Data Analytics field.
Start Today! Join a top-rated Data Analytics institute near you and accelerate your career with industry-recognized skills and placement support.








🎯 High Demand Career
Data Analytics is one of the most in-demand skills today. Every company—whether it’s in IT, healthcare, finance, retail, or marketing—needs skilled data professionals to make smart decisions.
💼 Job Opportunities & Salary Growth
You can apply for roles like Data Analyst, Business Analyst, Reporting Analyst, or Junior Data Scientist. Entry-level salaries are attractive and grow quickly with experience.
🛠️ Skill Enhancement
You’ll learn practical tools like Excel, SQL, Python, Power BI, and Tableau—skills that are widely used in analytics and even helpful in many other IT and business roles.
📊 Real-World Decision Making
You’ll understand how to make sense of data, create reports, and give insights that help businesses improve performance and profits.
🔁 Career Shift or Add-on Skill
If you’re from a non-technical or testing background, this course can help you switch careers into the analytics field. If you’re already in IT, it enhances your profile and helps in cross-functional roles.
Corporate-style training
Real-time projects
Placement support
Resume & interview guidance
Our Data Analytics course is available in both Online and Offline modes, with a total duration of 4 months. Training is conducted from Monday to Saturday, ensuring a structured and intensive learning experience.
🕒 Daily Schedule:
This format ensures students not only understand the concepts clearly but also gain real-time experience by applying them daily. Whether you prefer classroom learning or online flexibility, our program is designed to prepare you for job-ready roles in data analytics.
Eligibility:
Anyone with a Bachelor’s degree can join the course. This includes:
✅ B.Sc / B.Com / BBA / BCA / B.Tech / M.Tech / MBA / MCA / Any Graduate
Year of Passing:
No strict restriction – 2020 to 2025 pass outs or working professionals are welcome.
Background in IT or Coding?
👉 Not Mandatory. Even students from non-technical backgrounds (Commerce, Life Sciences, etc.) can easily learn as the course starts from basics.
Mathematics or Logic Thinking:
Helpful but not compulsory. Basic logical thinking and interest in learning are enough.
The Data Analytics course at QEdge Technologies is designed to be highly practical with a balance of necessary theory.
🧠 Theory:
Core concepts like types of analytics, statistics, data flow, SQL commands, Python basics, and data visualization principles are explained clearly to build strong foundations.
💻 Practical:
Every topic is followed by hands-on practice, including:
Writing SQL queries
Working with Excel datasets
Coding with Python (Pandas, NumPy)
Creating dashboards in Power BI/Tableau
Analyzing real-time case studies & business data
🛠️ Daily Routine:
1.5 hours theory + 1.5 hours practical session (Monday to Saturday) ensures you learn by doing—not just by listening.
Yes, QEdge Technologies provides live projects and real-time case studies as an essential part of the Data Analytics course.
🔹 What You’ll Get:
Real-time datasets from domains like Sales, Finance, HR, E-commerce, Healthcare
Hands-on experience in building interactive dashboards using Power BI/Tableau
Data cleaning, transformation, and analysis using Excel, SQL, and Python
Complete end-to-end project workflow: data collection ➝ preprocessing ➝ analysis ➝ visualization ➝ reporting
🔹 Why It Matters:
You’ll build a portfolio project that you can showcase in interviews.
It helps bridge the gap between training and real industry work.
Boosts your confidence and interview performance with practical exposure.
Yes, upon successful completion of the Data Analytics course at QEdge Technologies, you will receive a:
✅ Course Completion Certificate
This certificate will validate your training in tools like Excel, SQL, Python, Power BI/Tableau, along with your knowledge in statistics and real-time project execution.
Issued by QEdge Technologies
Includes course modules and duration
Recognized by recruiters and helpful for job applications
Can be added to your resume, LinkedIn profile, and portfolio
Additionally, based on the tools covered, you may also prepare for external certifications like:
Microsoft Power BI Certification
Google Data Analytics Professional Certificate (optional/self-registered)
Yes, QEdge Technologies provides complete course materials for all modules covered in the Data Analytics course.
✅ PDF Notes for each topic (Excel, SQL, Python, Power BI/Tableau, Statistics)
✅ Recorded Videos of daily classes (for revision or if you miss any session)
✅ Practice Files and Datasets (used in class and for project work)
✅ Assignment Sheets and Interview Questions
✅ Mini Projects & Real-time Case Studies for hands-on practice
