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Data Analytics Course in Hyderabad

A Data Analytics Course is a structured training program that teaches individuals how to collect, process, analyze, and interpret data to make informed business decisions. This course is highly valuable in today’s data-driven world and is applicable across industries like IT, finance, healthcare, marketing, and more.

Course Duration

120 Days

Training Options

Onsite / Online

Rating

Why Should You Take Data Analytics Course?

Data Analytics is in demand.

Data Analytics Job is rated as one of the happiest professions.

Data Analytics has a great career path.

Instructor-led Data Analytics Live Classes

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Data Analytics Course Schedules

CourseDateTimingsDurationTrainerTraining Mode
Data Analytics06:30 PM - 8:00 PM4 MonthsMr. ShivaOffline / Online

Course Price at

INR 18,000/-

About Course

QEdge Technologies offers an industry-focused Data Analytics course designed to build strong foundational and practical skills in analyzing and interpreting data. The course starts with the basics of data analytics, including different types like descriptive, diagnostic, predictive, and prescriptive analytics. It covers tools such as Microsoft Excel for data cleaning, formulas, charts, and dashboards, along with SQL for querying databases and retrieving meaningful insights. These tools help learners master data manipulation, reporting, and pattern recognition used in real-world business cases.

The program further includes Python programming, focusing on data libraries like Pandas, NumPy, Matplotlib, and Seaborn for data handling and visualization. Students also gain hands-on experience with Power BI or Tableau to create interactive dashboards and data visualizations. The course teaches essential statistics, probability, hypothesis testing, correlation, and regression. In advanced modules, basics of machine learning are introduced using Python. Learners work on real-time projects such as sales analysis, marketing campaign tracking, and business forecasting. With expert trainers, placement support, and practical training, QEdge ensures learners are well-prepared for a successful career in data analytics.

About Trainer

✅ 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.

Training Options

Onsite Training

INR 18,000/-

Online Training

INR 18,000/-

Video Based Learning

INR 18,000/-

Skills Covered

Data Analytics Course Curriculum

Basic Module

  • Introduction to Microsoft Excel
  • Installing Excel: Windows / Mac
  • Getting Familiar with Excel
  • Introduction to Tables
  • Input data into cells
  • Introduction to Formulas
  • Formula Behavior
  • Built in Functions
  • Combining Data from Two Tables

Advance Module

  • Pivot Tables
  • Nested IF statements
  • VBA to automate tasks
  • Custom Functions
  • Lookups
  • Vlookup
  • Hlookup
  • Match
  • Index functions

Descriptive Statistics

  • Data
  • Types of Data
  • Collection of Data
  • Population & Sample
  • Sampling Techniques
  • Measures of Central Tendency
  • Measures of Spread
  • Measures of Shape
  • Percentiles
  • Quartiles
  • Inter Quartile Range (IQR)
  • Outliers
  • Correlation
  • Covariance
  • Probability
  • Probability Distributions
  • Calculation of Probability using
  • Standard Error
  • Central Limit Theorem
  • Confidence Intervals

Inferential Statistics

  • Hypothesis Testing
  • Formulation of Null & Alternate Hypothesis
  • Type-I error & Type-II error
  • P value
  • Left tail vs Right tail vs Two tail
  • 1 Sample test (Z test & T test)
  • 2 Sample test (independent test & paired test)
  • ANOVA Test
  • Chi-square Test

Basic Module

  • Introduction to Python
  • Installation of Python
  • Variables
  • Input
  • Output
  • Data types
  • Data Structures
  • Operators
  • Condition Statements
  • Loops
  • Functions

 Advance Module

  • Advance Functions
  • File handling
  • Errors
  • Exception Handling

Numpy

  • Introduction to Numpy
  • Numpy Attributes
  • Array creation
  • Indexing & Slicing
  • Iteration over a array
  • Array Manipulation
  • Mathematical Operators
  • Relational Operators
  • Functions

Pandas

  • Introduction to Pandas
  • Series & Data Frame
  • Create Data Frame
  • Column Selection, Addition & Deletion
  • Row Selection, Addition & Deletion
  • Merging & Concatenation
  • Import of Data from various sources
  • Basic insights of datasets
  • Summarizing Data
  • Sorting
  • Discretization
  • Indexing and Selecting Data
  • Filtering data
  • GroupBy
  • Exporting Data
  • Statistical Functions
  • Univariate Analysis
  • Bivariate Analysis
  • Multivariate Analysis
  • Matplotlib
    • Histogram
    • Box plot
    • Scatter Plot
    • Line Plot
    • Pie Chart
    • Bar Chart
    • Subplots
  • Dealing wrong Data
  • Dealing wrong data types
  • Treating the duplicates
  • Dealing Missing Values
  • Handling Outliers
  • Drop unnecessary columns

Basic Module

  • Introduction to Databases
  • Databases vs Spreadsheets
  • DBMS vs RDBMS
  • Introduction to SQL
  • SQL vs NoSQL
  • Installation of MySQL
  • Data Types in SQL
  • Keys – Primary Key & Foreign Key
  • Constraints
  • CRUD Operations
  • SQL Languages
  • SQL Commands
  • SELECT
  • SQL Clause
  • Operators
  • Wild cards
  • Aggregation functions

Advance Module

  • SQL Joins
  • Normalization
  • De-Normalization
  • SQL Functions
  • Sub queries
  • Common Table Expressions (CTE)
  • Views
  • Stored procedures

Basic Module

  • Introduction to Power BI
  • Connectivity Modes
  • Power BI Desktop and Data Transformation
  • Data Visualization & Dashboard

Advance Module

  • Introduction to DAX
  • Data Types in DAX
  • DAX Calculation Types
  • Steps to Create Calculated Columns
  • Measures in DAX
  • DAX Syntax
  • DAX Functions
  • DAX Operators
  • DAX Tables and Filtering

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Structure your learning and get a certificate to prove it.

    Data Analytics Course in Hyderabad

    Jet QEdge Data Analytics Course Professional Certificate Holders work at 100s of companies like

    Reviews

    Mehraj Alam
    Mehraj Alam
    QEdge Technologies is a great institute for learning Data Analytics. The trainers are highly experienced and explain every concept in a simple and easy-to-understand manner. The course is well-structured, covering both theory and practical sessions effectively. If you're planning to build a career in data analytics, QEdge is the right place to start.
    Shajahan T
    Shajahan T
    I completed the Data Analytics course at QEdge Technologies, and my faculty was Mr. Suresh Bubu Sir. His explanations were clear and easy to understand, which made learning smooth for everyone in the batch. I strongly feel this is one of the best coaching centers in Ameerpet, Hyderabad for Data Analytics training.
    Himabindhu Madaka
    Himabindhu Madaka
    I have completed my Data Analytics course at QEdge Technologies. The faculty was Mr. Suresh Babu Sir, and his way of teaching was phenomenal. The training was conducted in a corporate style, and they also provided recorded sessions along with detailed PDFs for theory. Thank you, QEdge and Suresh Sir, for your valuable guidance and support.

    QEdge Training Features

    Theory

    Project Work

    Assignments

    Certification

    Resume Preparation

    Interview Preparation

    Resume Marketing

    Placement Support

    Frequently Asked Questions

    Benefits of Doing a Data Analytics Course

    1. 🎯 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.

    2. 💼 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.

    3. 🛠️ 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.

    4. 📊 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.

    5. 🔁 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.


    🏆 Bonus (If You Learn from QEdge Technologies)

    • 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:

    • 1.5 Hours of Theory Session
    • 1.5 Hours of Practical/Hands-on Session

    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.

    🎓 Qualification Required for Data Analytics Course

    • 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.

    Is the Data Analytics Course Theoretical or Practical?

    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.

    🎓 Will I Get a Certificate After Completing the Data Analytics Course?

    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.


    🏅 Certification Highlights:

    • 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.


    📦 Materials You Will Receive:

    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

    Be Future Ready. Enroll Now

    Structure your learning and get a certificate to prove it.

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