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Data Analytics Certification Course in Hyderabad check icon  Job - Ready Course
Data Analytics Certification Course in Hyderabad check icon Job - Ready Course

Join the best Data Analytics course in Hyderabad. Learn Power BI, Tableau, SQL & Python with expert trainers and become job-ready.

In Collaboration With

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Data_Science_Training_certificate_with_pwc
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Key-Highlights

Hybrid Mode of learning (Online, Offline and access to live recorded sessions)

Guest Lectures with Industry leaders from Microsoft & IIM Faculty

10+ Capstone Projects + 1 Individual end-to-end Project

1:1 Interactions with mentors to track progress

Exclusive batches for beginners

Exclusive Community access

Corporate Readiness Program

Profile & Resume building sessions

Accreditations and Certification

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Data_Science_institute_with_microsoft_Certificate
Data_Science_Course_with_Linkedin_Learning_Certificate
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Data_Science_institute__in_Hyderabad_with_pwc_Certificate
Data_Science_institute_with_Future_skills_Certificate

Course Overview

 This Data Analytics course in Hyderabad is designed to equip learners with the essential skills required to build a career in analytics. By the end of the program, candidates will have developed industry-relevant expertise in tools such as Python, SQL, Power BI, Tableau, Excel, and Alteryx. Our job-oriented Data Analytics training in Hyderabad with placement support prepares students to excel in a dynamic and evolving industry.

What topics are included in the Data Analytics course?


The topics covered in this Data Analytics program and the modules you will learn are:

  • Module 1 – Python Fundamentals and OOPs Concept
  • Module 2 – Data Handling with Pandas APIs and Web Services
  • Module 3 – Complete Data Visualization and Advanced Data Analysis
  • Module 4 – Advanced Data Handling with Pandas and Web Scraping
  • Module 5 – Statistics with Probability Distributions and Inference
  • Module 6 – Advanced SQL with Excel: Advanced Formulas and Functions
  • Module 7 – Advanced Visualizations in Tableau and Power BI
  • Module 8 – Alteryx for Data Preparation and Transformation, and Jira
  • Module 9 – Integration with Other Tools
  • Module 10 – Best Practices and Case Studies
Which skills will you gain by the end of this Data Analytics program?


The key tools and concepts you will learn in this Data Analytics program include:

  • Python for Data AnalyticsLearn Python from scratch with our job-oriented Data Analytics training in Hyderabad to clean and analyze data.
  • Seaborn VisualizationGain expertise in Seaborn to create interactive charts, part of our Data Analytics certification  Hyderabad.
  • Advanced Excel for Analytis:  Handle large datasets with PivotTables, VLOOKUP & automation, covered in our Hyderabad data analytics course.
  • Statistics for Data Analytics :Master probability, distributions, and testing, essential for a career in data analytics in Hyderabad.
  • Power BI TrainingLearn Microsoft’s Power BI tool to design dashboards, offered in our Power BI and Tableau course in Hyderabad.
  • Alteryx Training : Build skills in low-code automation, included in our data analytics training program Hyderabad.
  • Jira for Analytics Projects:  Learn project management with Jira as part of our data analytics course with placement in Hyderabad.
  • SQL Training : Learn to query and manage data with SQL, an important module in our best data analytics training in Hyderabad.
  • Tableau Certification: Build dashboards and data visualizations with Tableau in our data analytics certification course Hyderabad.
Why are Data Analytics in high demand across industries?

 

Data Analytics is one of the most in-demand skills today. With businesses adopting digital transformation, there’s a rising need for skilled data analysts in Hyderabad and across India who can convert raw data into actionable insights. Our Data Analytics course in Hyderabad with placement support prepares learners to meet this demand.

  • Data is everywhere: With the surge of online transactions and digital platforms, industries need professionals trained in data analytics certification in Hyderabad to analyze and interpret large datasets.
  • Data-driven decision making: Organizations rely heavily on analytics to make smarter business decisions, reduce risks, and improve efficiency. Our Hyderabad Data Analytics training equips you with these skills.
  • Competitive edge: Companies want experts who understand customer behavior, optimize operations, and create better strategies this is why our job-oriented Data Analytics course in Hyderabad is industry-focused.
  • Rising demand across sectors: From healthcare and finance to retail, logistics, and IT, data analytics jobs in Hyderabad are growing rapidly, creating huge career opportunities.
  • Shortage of skilled professionals: With high demand and fewer trained professionals, learners who complete our data analytics training in Hyderabad with real-time projects can secure excellent job opportunities.
What does a day in the life of a Data Analytics look like?


A typical day in the life of a data analyst is collecting, cleaning and filtering data using industry relevant tools and skills

  • Review real time dashboards and metrics using Power BI and Tableau to achieve business goals.
  • Extract raw data from databases using SQL and clean with tools like Python and Pandas to get accuracy.
  • Identify patterns, analyze data and interpret results using advanced Excel.
  • Work collaboratively with marketing, finance, and product teams to understand business needs and help in data-driven decisions.
  • Make strategies by translating data into actionable insights for better decision making, ROI, customer experience, and improve the overall performance of the businesses.
  • Present visually appealing dashboards and reports to communicate findings to decision makers.
  • Continuous learning to keep up with the trends, new tools, and platforms to stay ahead.

Tools Covered

Know Your Mentors

Top_Senior_Data_Science_Trainer
Swapnil

Sr. Data Analyst

20 Years Experience

Best_Senior_Data_Analyst_Trainer
Vishnu Murthy

Sr. Data Scientist

20 Years Experience

Best_Senior_Data_Science_Trainer
Satya Kumar

Sr. Data Scientist

12 Years Experience

Best_Data_Scientist_Trainer
Satish

Sr. Data Scientist

5 Years Experience

Program Highlights

Data_Science_Course_with_IndustryTrainers
WhiteScholars_partnered_companies_for_Placements
Data_Science_Course_Curriculum
Industryoriented_Projects_in_Data_Science

Program Highlights

Become a Software Developer pro by Industry expert Led training and master the concepts
Data_Science_Course_with_IndustryTrainers
Gain access to real world job opportunities with WhiteScholars backed by a strong network of industry professionals
WhiteScholars_partnered_companies_for_Placements
The data analytics course is designed with insights from top Data scientists to meet real industry demands.
Data_Science_Course_Curriculum
The course prepares you for real-world roles by offering practical exposure through case studies, live projects, and assignments.
Industryoriented_Projects_in_Data_Science

Learner's Journery

Data_Science_Roadmap

Curriculum and Modules

1. Python

1. Python

  • What is programming?
  • History of Python
  • Setting up the development environment
  • IDLE
  • Jupyter Notebook
  • VS Code
  • Writing and running your rst Python program

2. Basic Syntax

  • Comments
  • Indentation
  • Printing to the console

3. Variables and Data Types

  • Numbers (integers, oats)
  • Strings
  • Booleans

4. Basic Operators:

  • Arithmetic operators
  • Comparison operators
  • Logical operators

5. Control Flow

  • Conditional statements (if, elif, else)
  • Loops (for loops, while loops)
  • break, continue, and pass statements

6. Functions

  • Dening and calling functions
  • Function arguments and return values
  • Scope and lifetime of variables
  • Lambda functions

7. Lists

  • Creating and accessing lists
  • List operations (indexing, slicing, adding, removing elements)
  • List methods
  • append
  • extend
  • insert
  • remove
  • pop
  • clear
  • index
  • count
  • sort
  • reverse

8. Data Structures: Tuples and Sets

  • Creating and accessing tuples
  • Tuple methods
  • Creating and accessing sets
  • Set operations
  • union
  • intersection
  • difference

9. Data Structures & Dictionaries

  • Creating, accessing, and modifying dictionaries
  • Dictionary methods
  • keys
  • values
  • items
  • get
  • pop
  • update

10. Working with Strings

  • String operations
  • Concatenation
  • Slicing
  • Formatting
  • String methods
  • find
  • replace
  • split
  • join
  • lower
  • upper
  • strip

Intermediate Concepts

11. File Handling

  • Reading from les
  • Writing to les
  • Working with CSV les using the csv module

12. Modules and Packages

  • Importing modules
  • Standard library overview
  • math
  • datetime
  • random
  • Installing and using third-party packages (pip)

13. Error Handling

  • Understanding exceptions
  • try, except, else, nally blocks
  • Raising exceptions

14. Object-Oriented Programming (OOP)

  • Classes and objects
  • Attributes and methods
  • Inheritance
  • Polymorphism

15. Comprehensions

  • List comprehensions
  • Dictionary comprehensions
  • Set comprehensions
2. Python - Intermediate Concepts

1. Decorators and Generators

  • Understanding and using decorators
  • Creating and using generators

2. Regular Expressions

  • Introduction to regular expressions
  • Using the re module for pattern matching

3. Advanced Data Handling with Pandas

  • Introduction to Pandas
  • DataFrames and Series
  • Reading from and writing to different le formats
  • CSV
  • Excel
  • JSON
  • Data cleaning and manipulation

4. Data Visualization

  • Introduction to Matplotlib and Seaborn
  • Plotting graphs and charts
  • Customizing plots

5. Web Scraping

  • Introduction to web scraping
  • Using BeautifulSoup and requests
  • Handling web scraping challenges
  • pagination
  • dynamic content

6. Advanced Python Libraries

  • Introduction to NumPy for numerical computing
  • SciPy for scientic computing
  • Exploring additional libraries as per interest
  • TensorFlow for machine learning
3. Excel

Introduction & Excel Basics

  • Introduction to Data Analysis
  • What is Data Analysis?
  • Importance of Data Analysis and Visualization

Excel Fundamentals

  • Introduction to Excel Interface
  • Data Entry, Formulas, and Functions
  • Data Types and Basic Formatting

Working with Data in Excel

  • Sorting, Filtering, Conditional Formatting
  • Basic Data Validation
  • Basic Data Analysis in Excel
  • Basic Math and Statistical Functions
  • Descriptive Statistics (SUM, AVERAGE, COUNT, MIN, MAX)

Introduction to Pivot Tables

  • Creating and Customizing Pivot Tables
  • Grouping Data, Creating Calculated Fields

Advanced Formulas and Functions

  • IF, VLOOKUP
  • HLOOKUP
  • INDEX-MATCH
  • Nested Functions
  • Error Handling (IFERROR)
  • Data Visualization in Excel

Creating Charts and Graphs

  • Bar
  • Line
  • Pie
  • Formatting and Customizing Charts
3a. Advanced Data Analysis in Excel

Goal Seek

  • Solver
  • What-If Analysis

Working with Large Data Sets

  • Text-to-Columns
  • Flash Fill
  • Data Cleaning and Preparation in Excel
  • Removing Duplicates
  • Text Functions (LEFT, RIGHT, MID)
  • Date and Time Functions
  • String Manipulation

Macros and Automation

  • Introduction to Excel Macros
  • Recording and Running Macros
4. SQL

Introduction to Databases and SQL

  • What is a Database?

SQL Basics:

  • SELECT, FROM, WHERE
  • Setup SQL Environment (MySQL/PostgreSQL)

SQL Queries for Data Analysis

  • Filtering Data (AND, OR, NOT)
  • Sorting Data (ORDER BY)
  • Using Wildcards in Queries

Aggregation Functions in SQL

  • COUNT, SUM, AVG, MIN, MAX
  • GROUP BY and HAVING

Joining Tables in SQL

  • INNER JOIN, LEFT JOIN, RIGHT JOIN
  • Working with Multiple Tables
  • Subqueries and Nested Queries
  • Writing Subqueries
  • Working with Multiple Tables

Subqueries and Nested Queries

  • Writing Subqueries
  • Combining Queries (UNION, INTERSECT)
4a. Advanced SQL & Introduction to Tableau

Advanced SQL Functions

  • Window Functions (ROW_NUMBER, RANK, DENSE_RANK)
  • CTEs (WITH Queries)

Data Manipulation in SQL

  • INSERT, UPDATE, DELETE Statements
  • Transactions and Rollback
5. Tableau / Power BI

Introduction to Tableau / Power BI

  • Tableau Interface, Connecting to Data Sources
  • Creating Basic Visualizations
  • (Bar, Line, Pie Charts)

Advanced Visualizations in Tableau / Power BI

  • Heat Maps, Scatter Plots, Histograms
  • Dual-Axis and Combination Charts
  • Dashboard Design in Tableau
  • Building Interactive Dashboards
  • Filters, Parameters, Actions

Dashboard Design in Tableau / Power BI

  • Building Interactive Dashboards
  • Filters, Parameters, Action

Tableau / Power BI Advanced

  • Data Preparation in Tableau
  • Data Blending, Joins, and Relationships
  • Pivoting and Splitting Data

Advanced Calculations in Tableau / Power BI

  • Calculated Fields, Table Calculations
  • Level of Detail (LOD) Expressions

Storytelling with Tableau / Power BI

  • Building Stories and Presenting Data
  • Best Practices for Effective Dashboards
5a. Advanced Tableau / Power BI

Data Preparation in Tableau

  • Data Blending, Joins, and Relationships
  • Pivoting and Splitting Data

Advanced Calculations in Tableau / Power BI

  • Calculated Fields, Table Calculations
  • Level of Detail (LOD) Expressions

Storytelling with Tableau / Power BI

  • Building Stories and Presenting Data
  • Best Practices for Effective Dashboards
6. Alteryx

Introduction to Alteryx

  • What is Alteryx?
  • Overview of Alteryx Designer
  • Key features and use cases
  • Installing and setting up Alteryx

Data Input and Output

  • Input Data Tool
  • Output Data Tool

Data Preparation and Transformation

  • Select Tool, Filter Tool, Sort Tool
  • Data Cleansing Tool
  • Formula Tool
  • Join Tool
  • Union Tool

Aggregations and groupings

  • Cross Tab and Transpose Tools: Reshaping data
  • Reporting Tools: Charts, tables, and dashboards

Overview of predictive tools

  • Regression analysis (Linear, Logistic)
  • Decision trees and clustering
  • Time series analysis

Creating macros

  • Batch processing
  • Using the Alteryx Scheduler

Using Alteryx Server

  • API integrations
  • Python and R Tool
  • Error handling and debugging workflows
7. Statistics
Introduction to Statistics
  • Descriptive Statistics
  • Measures of central tendency: mean, median, mode
  • Measures of dispersion: range, variance, standard deviation, interquartile range
  • Data Visualization
  • Histograms, bar charts, pie charts
  • Box plots, scatter plots
  • Probability Basics
  • Probability theory and rules
  • Conditional probability and Bayes’ theorem
  • Probability distributions: discrete and continuous
2. Probability Distributions
  • Discrete Distributions
  • Bernoulli
  • Binomial
  • Poisson distributions
  • Continuous Distributions
  • Uniform
  • Normal (Gaussian)
3. Exponential distributions
  • Central Limit Theorem
  • Multivariate Distributions
  • Multinomial distribution
  • Multivariate Normal distribution
  • Descriptive Statistics
  • Measures of central tendency: mean, median, mode
  • Measures of dispersion: range, variance, standard deviation, interquartile range
4. Data Visualization
  • Histograms, bar charts, pie charts
  • Box plots, scatter plots
  • Probability Basics
  • Probability theory and rules
  • Conditional probability and Bayes’ theorem
  • Probability distributions: discrete and continuous
5. Statistical Inference
  • Sampling and Sampling Distributions
  • Point Estimation and Properties of Estimators
  • Bias
  • Variance
  • Mean Squared Error (MSE)
  • Interval Estimation
  • Condence intervals for means and proportions
  • Hypothesis Testing
  • Null and alternative hypotheses
  • Type I and Type II errors
  • p-values and signicance levels
  • t-tests
  • chi-square tests
  • ANOVA
8. Bayesian Statistics

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    At Whitescholars, our placement methodology is designed to ensure that every student is industry ready and confident to face the real world challenges. Students are made to understand the specific hiring requirements of the companies and trained with our crashed courses as per the job description.
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    Career Transitions

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    Calender - On Campus Classes

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    Date

    Time
    Batch Type
    Date
    Program Induction

    27th Feb, 2026

    09:30 AM – 11:00 AM IST

    19:00 IST

    Regular Classes
    27th Feb, 2026
    09:30 AM – 11:00 AM IST

    Weekdays & Weekend

    Want to know about upcoming cohort dates?

    Fee Structures of Online and Offline

    Instructor Led Training

    Mode of training: ​ Online

    Next Batch: 27th Feb 2026

    INR 54,999

    INR 50,000

    Physical Classroom Session

    Mode of training: ​ Classroom
     

    Next Batch: 27th Feb 2026

    INR 64,999

    INR 50,000

    Hybrid Classes

    Mode of training: ​Online + Offline
         

    Next Batch: 27th Feb 2026

    INR 64,999

    INR 50,000

    Data_Science_Course_for_Freshers
    Freshers/Beginners

    Tech graduates or graduates from any stream can opt for the data analyst course in Hyderabad as it doesn’t require coding and is offered by the best data analytics institute in Hyderabad.

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    Data Enthusiasts

    If you are a data enthusiast passionate about numbers, patterns, and data-driven decisions, our data analytics certification course in Hyderabad is the right place for you.

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    Working professionals

    If you’re a working professional passionate about data and making smart, data-driven decisions, join our data analyst training in Hyderabad to advance your career.

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    Tech Enthusiasts

    If you are a tech-savvy person who enjoys exploring data and new tools, then this data analytics certification training in Hyderabad is a great choice to build strong analytical skills.

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    Career Transitioners

    Stuck in a job with no growth and want to switch your career? Upskill with the best data analytics certification course in Hyderabad and start your new journey.

    Why WhiteScholars is the Best
    Data Analytics Training Institute in Hyderabad?
    “Listen to expert on why projects are important to crack interview for Data Science roles”

    Salary & Role Trends of Data Analyst

    Explore average salaries, job roles, and top hiring companies in the Data Analyst field.

    Designation

    Data Analyst
    Business Analyst
    Sr Data Analyst

    Annual Salary

    Source: Glassdoor

    Campanies Who Hire Data Analyst Students

    What is the scope of certified Data Analytics in India

    • Hiring across industries: With the digital transformation everywhere, there has been a surge in demand of data analyst in India. Data analytics jobs are the most sought after by industries.
    • Explosion in Data everywhere: With the huge rise in the generation of data all around the world, data analyst are high in demand to extract, clean and filter data to make actionable decisions.
    • Diverse Roles: Companies actively hire certified analysts for various roles as data analyst, marketing analyst, finance analyst, product analyst and data consultant. Research reports that there are 223 plus roles in the field of data analysts and data science.
    • Better Salary Prospects: Certified professionals earn 25-30 % on an average.
    • Global Reach: Indian data analyst are high in demand not only in Hyderabad but also in countries like USA, UK, Canada and UAE.
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    Prashanth Reddy

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    I enrolled in the Data Analytics course at White Scholars, and my experience has been genuinely positive. The institute provides a well-structured curriculum

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    In WhiteScholars institute I took Data Analytics course, why because it is very demanding field in the industry. And the training experience is very good.

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    We've got answers

    Frequently asked questions

    Quick answers to questions you may have. Make an informed decision before embarking on your learning journey.

    What is Data Analytics?

    Data analytics is the process of collecting, cleaning, analyzing, and interpreting data to find meaningful insights. Businesses use data analytics to make better decisions and improve performance.

     

    Why is Data Analytics a high-demand career in Hyderabad?

    Hyderabad is growing as a major IT and analytics hub. Many companies require skilled professionals who can analyze business data, making data analytics a strong career option in the city.

     

    What will I learn in a data analytics course in Hyderabad?

    In a structured data analytics course in Hyderabad, you will learn Advanced Excel, SQL, Power BI, Python for data analysis, data visualization, dashboard creation, and real-time business case studies.

    Why choose WhiteScholars for a data analytics course in Hyderabad?

    WhiteScholars focuses on practical training, real-time projects, structured modules, and one-on-one doubt sessions. The course is designed to make students industry-ready rather than just theory-focused.

     

    Is this data analyst course in Hyderabad suitable for non-technical students?

    Yes. The data analyst course in Hyderabad at WhiteScholars starts from basics and gradually moves to advanced concepts, making it suitable for students from mechanical, commerce, and management backgrounds.

     

     

    What tools are covered in the data analyst course Hyderabad at WhiteScholars?

    The data analyst course Hyderabad includes Advanced Excel, SQL, Power BI, Python, data cleaning techniques, dashboard development, and project implementation.

     

    Does WhiteScholars provide real-time projects in its data analytics training in Hyderabad?

    Yes. Students work on multiple real-time datasets and business case studies during the data analytics training in Hyderabad to gain practical exposure.

    What makes WhiteScholars different from other data analytics institutes in Hyderabad?

    WhiteScholars offers hybrid learning, experienced mentors, continuous assessment, mock interviews, resume building support, and practical assignments, which makes it one of the best data analytics institutes in Hyderabad.

    How long is the data analytics course in Hyderabad at WhiteScholars?

    The data analytics course in Hyderabad typically runs for 3–4 months, depending on the batch type and learning mode selected.

     

    Is coding mandatory in a data analyst course in Hyderabad?

    Basic Python is included, but it is taught from scratch. Even beginners can easily understand coding concepts with proper guidance.

    Does WhiteScholars provide placement assistance after the data analyst course in Hyderabad?

    Yes. WhiteScholars provides placement support including resume preparation, LinkedIn profile optimization, mock interviews, and interview guidance.

    What kind of career opportunities can I expect after completing data analytics training in Hyderabad?

    After completing data analytics training in Hyderabad, you can apply for roles such as Data Analyst, Business Analyst, Reporting Analyst, MIS Executive, and Junior Data Consultant.

    How practical is the data analytics course in Hyderabad at WhiteScholars?

    The training is highly practical. Students build dashboards, clean datasets, analyze business data, and work on project-based assignments throughout the course.

    What should I check before joining the best data analytics institute in Hyderabad?

    You should check trainer experience, project exposure, placement support, structured curriculum, and student reviews before enrolling in the best data analytics institute in Hyderabad.

    Does the course include placement assistance?

    Yes. Placement assistance is usually provided, and WhiteScholars supports learners with resume building, mock interviews, and interview preparation.

    Does WhiteScholars provide certification after completing the course?

    Yes. After successfully completing the data analyst course in Hyderabad, students receive a course completion certificate from WhiteScholars.

    Can working professionals join the data analytics course in Hyderabad?

    Yes. The flexible batch options and hybrid learning mode make it easy for working professionals to enroll and complete the course comfortably.

    How does WhiteScholars help students gain confidence in interviews?

    WhiteScholars conducts mock interviews, technical Q&A sessions, real-time project reviews, and practical assessments to prepare students for real job interviews.

    Is data analytics coaching in Hyderabad enough to switch careers into IT?

    With proper guidance, hands-on projects, and interview preparation, data analytics coaching in Hyderabad can help career switchers successfully transition into IT roles.

    How can I enroll in the WhiteScholars data analytics course in Hyderabad?

    You can contact the WhiteScholars team, attend a demo session, understand the curriculum, and then enroll in the data analytics course in Hyderabad based on your career goals.

    Ready to Start Your Journey?

    Don't miss out on the opportunity to transform your career. Join Whitescholars and gain the skills you need to succeed in the tech industry.