Data Analytics Course in Noida
Next Batch Details
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Trainer Name |
Mr. Ashish |
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Trainer Experience |
8+ Years |
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Next Batch Date |
17 July 2025 (1:00 PM To 2:00 PM IST) |
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Training Modes |
Online / Offline |
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Course Duration |
6 Months |
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Call us at |
+91 6396583582 |
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Email Us at |
mohdanas1044@gmail.com |
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Demo Class Details |
ENROLL FOR FREE DEMO CLASSES |
Key Highlights of Our Data Analyst Course in Noida
- Industry-Relevant Curriculum
- Hands-on Practical Training with Real Projects
- Globally Recognized Certification After Completion
- 100% Placement Assistance
- Experienced Industry Trainers
- Flexible Batches – Online & Classroom Options
- Beginner-Friendly – No Prior Coding Required
- Affordable Course Fees with EMI Options
- Resume Building & Interview Preparation
- Contact our experts Any time
- Focus on Practical Learning & Real-World Problem Solving
Tools You Can Use in Data Analytics
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Data Analytics Course in Noida
Course Curriculum
Module1: Introduction to Data Analytics
Understanding how raw data is collected, processed, and analyzed to extract useful information for decision-making.
Module2: Statistics & Probability for Data Analytics
The study of numbers, averages, and chances to help understand patterns, relationships, and uncertainty in data.
Module3: Excel for Data Analysis
Using Microsoft Excel to organize, calculate, and analyze data using formulas, charts, pivot tables, and graphs.
Module4: SQL & Database Management
Learning Structured Query Language (SQL) to store, manage, and retrieve data from databases like MySQL or PostgreSQL.
Module5: Python for Data Analysis
Using Python programming language and its libraries (like Pandas and NumPy) to clean, process, and analyze data efficiently.
Module6: Data Visualization (Power BI & Tableau)
Presenting data using charts, graphs, and interactive dashboards to make complex information easy to understand.
Module7: Data Cleaning & Preprocessing
Preparing raw data by fixing errors, removing duplicates, and handling missing values to make it ready for analysis.
Module8: Exploratory Data Analysis (EDA)
Studying and visualizing data to discover patterns, trends, and insights before building models or making decisions.
Data Analytics Course Duration in Noida
- 3 to 6 Months
- Fast Track Option: 2.5 Months (Intensive)
- Weekend Batch: Available for working professionals
Data Analytics Course Fees in Noida
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Mode |
Fees |
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Classroom |
₹35,000 to ₹55,000 |
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Online |
₹25,000 to ₹40,000 |
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EMI |
Available for longer-duration batches |
Skills developed after Our Data Analytics Training in Noida
Technical Skills
- Data Cleaning & Data Preparation
- Data Analysis using Excel & SQL
- Python for Data Handling & Automation
- Data Visualization with Power BI & Tableau
- Database Management & Query Writing (SQL)
- Exploratory Data Analysis (EDA) Techniques
- Basics of Machine Learning (Predictive Analysis)
- Working with Real-World Datasets
- Building Interactive Dashboards
- Generating Data Reports & Insights
At Data Analytics masters in noida
- Comprehensive Course Curriculum (Excel, SQL, Python, Power BI, Tableau)
- Hands-On Practical Training with Real-Time Projects
- Industry-Recognized Certification About After Course Completion
- 100% Placement Assistance & Job Interview Preparation
- Expert Faculty with Industry Experience
- Online & Classroom Training Options Available
- Beginner to Advanced Level Learning
- Affordable Fees with Easy EMI Options
- Soft Skills & Communication Development
Analytical & Problem-Solving Skills
- Identifying Business Problems using Data
- Interpreting Data to Drive Business Decisions
- Finding Patterns & Trends in Complex Data
- Solving Real-World Data Challenges
Professional & Workplace Skills
- Project Handling & Report Presentation
- Resume Building for Data Analyst Roles
- Interview Preparation & Mock Interview Practice
- Communication & Data Storytelling Skills
What is Data Analytics?
- Process of collecting, organizing, and analyzing data
- Helps in finding patterns, trends, and useful information
- Used to make better business decisions
- Involves tools like Excel, SQL, Python, Power BI, and Tableau
- Converts raw data into meaningful insights
- Supports companies in improving performance and efficiency
- Used across industries like IT, finance, healthcare, marketing, etc.
Why Data Analytics?
- Helps businesses make smart, data-driven decisions
- Identifies trends, patterns, and hidden opportunities
- Improves business efficiency and reduces risks
- Supports better customer understanding and satisfaction
- High demand for skilled Data Analysts across industries
- Offers excellent career growth and salary opportunities
- Helps solve Blog real-world business problems with data
- Plays a key role in digital transformation of companies
- Applicable in almost every sector like IT, Healthcare, Marketing, Finance, etc.
Why Choose us
1.Curriculum Breadth – Does it cover SQL, Excel, Python/R, data visualization?
2.Practical Exposure – Real-world projects and capstone assignments?
3.Faculty Quality – Experienced instructors with industry knowledge?
4.Mode & Flexibility – Classroom, online, weekend/evening options?
5.Placement Support – Resume prep, mock interviews, employer outreach?
6.Batch Size – Smaller groups mean more personalized training?
7.Reviews & Transparency – Speak with alumni, check LinkedIn outcomes.
Data Analytics Analytics in Noida
Average Salary
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Experience |
Job Role |
Salary |
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Fresher (0-1 Year) |
Data Analyst |
₹2.5 LPA – ₹4.5 LPA |
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1-3 Years |
Junior Data Analyst |
₹4.5 LPA – ₹7 LPA |
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3-5 Years |
Data Analyst / Business Analyst |
₹7 LPA – ₹11 LPA |
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5-8 Years |
Senior Data Analyst |
₹12 LPA – ₹18 LPA |
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8+ Years |
Data Analytics Manager |
₹18 LPA – ₹30 LPA |
Testimonials of Our Data Analytics Course in Noida
1. The course was very practical and beginner-friendly. I learned SQL, Python, and Power BI from scratch. The trainers were excellent, and the placement team helped me land my first job as a Data Analyst.— Riya Sharma
2.The real-world projects and hands-on sessions helped me gain confidence. The concepts were explained clearly, and I could apply them easily in my job interviews.— Aman Gupta
3.Great learning experience! The course structure, faculty, and practical approach made learning easy. I got my certification and cracked interviews with confidence. –Pooja Singh
Certifications
✔ Course Completion Data Analytics Certificate
✔ Industry-Recognized Certification
✔ Project-Based Certification on real-world data analytics tasks
✔ Tool-Specific Certificates (Excel, Power BI, SQL, Python, etc.)
✔ Skill-Based Certification for data visualization
✔ Capstone Project Certificate
✔ Internship/Project Experience Letter
FAQs
1. What is a Data Analytics course?
A Data Analytics course teaches how to collect, clean, analyze, and visualize data to help businesses make better decisions.
2. Who can join the Data Analytics course?
Anyone can join, including students, freshers, working professionals, or business owners who want to learn how to work with data.
3. Do I need coding knowledge for this course?
No, coding is taught from basics. No prior coding experience is required to start this course.
4. Which tools will I learn in this course?
You will learn Excel, SQL, Python, Power BI, Tableau, and other popular data analysis tools.
5. What is the duration of the course?
The course duration is usually 3 to 6 months, depending on the batch and learning mode.
6. Is placement assistance provided?
Yes, we provide interview preparation, resume building, and placement support for eligible candidates.
7. What is the fee for the Data Analytics course in Noida?
The fee ranges from ₹25,000 to ₹55,000, depending on the course type and duration.
8. Is there a certification after the course?
Yes, you will receive a professional certificate after successful completion of the course.
9. What is the average salary after learning Data Analytics?
For freshers, the average salary ranges from ₹3 LPA to ₹5 LPA, and experienced professionals can earn higher packages.
10. Do you offer online and offline classes?
Yes, we offer both online live classes and offline classroom training in Noida.