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Data Analytics Certification Course Near Kukatpally check icon  Job - Ready Course

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

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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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    Course Overview

    WhiteScholars Data Analytics course in Hyderabad is designed to take you from zero to job-ready. Whether you’re a fresher or a working professional near KPHB, Miyapur, or Balkampet, you’ll build hands-on expertise in Python, SQL, Power BI, Tableau, Excel, and Alteryx the exact tools top companies in Hyderabad are actively hiring for. With real-time projects, expert mentors, and dedicated placement support, this program prepares you to hit the ground running from day one.

    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 near Kukatpally include:

    • Python for Data Analytics: Learn Python from scratch with our job-oriented Data Analytics training in Kukatpally to clean and analyze data.
    • Seaborn Visualization: Gain expertise in Seaborn to create interactive charts, part of our Data Analytics certification in Kukatpally.
    • Advanced Excel for Analytics: Handle large datasets with PivotTables, VLOOKUP & automation, covered in our Data Analytics course near KPHB.
    • Statistics for Data Analytics: Master probability, distributions, and testing, essential for a career in data analytics in Hyderabad.
    • Power BI Training: Learn Microsoft’s Power BI tool to design dashboards, offered in our Power BI and Tableau course in Kukatpally.
    • Alteryx Training: Build skills in low-code automation, included in our Data Analytics training program near Kukatpally.
    • Jira for Analytics Projects: Learn project management with Jira as part of our Data Analytics course with placement in Kukatpally.
    • SQL Training: Learn to query and manage data with SQL, an important module in our best Data Analytics training in Kukatpally.
    • Tableau Certification: Build dashboards and data visualizations with Tableau in our Data Analytics certification course in Kukatpally.
    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 Kukatpally, Hyderabad and across India who can convert raw data into actionable insights. Our Data Analytics course in Kukatpally 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 near Kukatpally 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 Data Analytics training in Kukatpally 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 near KPHB 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 for learners from Kukatpally and nearby areas.
    • Shortage of skilled professionals: With high demand and fewer trained professionals, learners who complete our Data Analytics training in Kukatpally 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 trained at our Kukatpally center 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 — core skills taught in our Data Analytics course in Kukatpally.
    • Extract raw data from databases using SQL and clean with tools like Python and Pandas to get accuracy, exactly as practiced in our Data Analytics training near KPHB.
    • Identify patterns, analyze data and interpret results using advanced Excel, a key module in our Data Analytics certification course in Kukatpally.
    • Work collaboratively with marketing, finance, and product teams to understand business needs and help in data-driven decisions — a real-world skill our Kukatpally students practice through live projects.
    • Make strategies by translating data into actionable insights for better decision making, ROI, customer experience, and overall business performance.
    • Present visually appealing dashboards and reports to communicate findings to decision makers — a skill sharpened through 7+ real-time projects in our Kukatpally program.
    • Continuous learning to keep up with the trends, new tools, and platforms to stay ahead in the competitive Hyderabad job market.

     

    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

    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

    Call Us Today

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      Get interview tips and get prepared with mock interview sessions that help you boost confidence. Receive personalized feedback to improve your performance. Our expert mentors create real-time interview scenarios, helping to get comfortable with both technical and HR rounds. Learn how to handle difficult questions, structure your responses, and make a strong first impression. Our goal is to help you not just crack the interview but stand out.
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      Calender - On Campus Classes

      Lorem

      Date

      Time
      Batch Type
      Date
      Program Induction

      23rd July, 2026

      11:30 AM – 01:00 PM IST

      19:00 IST

      Regular Classes
      23rd July, 2026
      11:30 AM – 01:00 PM 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: 23rd July 2026

      INR 54,999

      INR 50,000

      Physical Classroom Session

      Mode of training: ​ Classroom
             

      Next Batch: 23rd July 2026

      INR 64,999

      INR 50,000

      Hybrid Classes

      Mode of training: ​Online + Offline
                   

      Next Batch: 23rd July 2026

      INR 64,999

      INR 50,000

      Data_Science_Course_for_Freshers
      Freshers/Beginners

      Tech graduates or graduates from any stream can opt for our Data Analytics course in Kukatpally. No coding experience required — join the best Data Analytics institute near KPHB and kickstart your career.

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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 Kukatpally is the right place for you.

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      Working professionals

      A working professional near Kukatpally? Upskill with our flexible Data Analytics training in KPHB, available offline, online & recorded sessions to fit your schedule.

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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 Kukatpally 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 near Kukatpally and start your new journey with confidence.

      Why WhiteScholars is the Best
      Data Analytics Training Institute in Kukatpally?

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      Prashanth Reddy

      Prashanth Reddy

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      I recently completed the Data Analyst course at WhiteScholars, and I can confidently say it was one of the best decisions I made for my career!

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      nani aditya

      nani aditya

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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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      Ajithesh Reddy

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      I took up a data analytics course here and finished 2 months of it already. The training given is very industry specific. I have done many guided projects.

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      G Phani Datta Kumar

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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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      Santhiya Sekar

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      I choose data analytics as it's one of the trending fields and upcoming one , there are many data analytics jobs in the market so I want to upskill my self

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      ramya C

      ramya C

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      WhiteScholars Helped Me Switch to IT and Land a Data Analyst Job! I worked in a BPO for two years but felt stuck with no career growth. WhiteScholars.

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      Why Students from Kukatpally Choose WhiteScholars

      Kukatpally is one of Hyderabad’s fastest-growing residential and professional hubs. With IT companies, engineering colleges, and thousands of working professionals in the KPHB and JNTU belt the demand for Data Analytics skills is higher than ever.

      WhiteScholars is the most accessible Data Analytics training center for students and professionals from Kukatpally, KPHB, Miyapur, Bachupally, and surrounding areas, no long commutes, no wasted travel time.

      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.

       

      Wher WhiteScholars Data Analytics training institute located?

      WhiteScholars is located at Aero Hamd Building, 5th Floor, Mumbai Highway Main Road, near JNTU College Metro Station, Opposite Rainbow Children’s Hospital, Above HDFC Bank Hyder Nagar Branch, Vasant Nagar, Kukatpally, Hyderabad, Telangana, 500085.

      We are easily accessible from KPHB, Miyapur, Balkampet, Chandanagar, Nizampet, and surrounding areas. Our Data Analytics training center is just a few minutes walk from JNTU College Metro Station, making it extremely convenient for students across Hyderabad to attend offline classes. You can also opt for our online or hybrid batches if you prefer learning from home.

      Does WhiteScholars provide placement support after the Data Analytics course?

      Absolutely! WhiteScholars provides guaranteed interview opportunities along with dedicated placement support. With a network of 100+ hiring partners actively recruiting in Hyderabad, our students from Kukatpally have been placed in top MNCs and product-based companies. Our placement team works closely with every student until they land their dream job.

      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.

       

      Accordion What companies hire WhiteScholars Data Analytics graduates?


      Our Data Analytics students have been placed in top companies including TCS, Infosys, Wipro, Deloitte, Accenture, PwC, Amazon, Cognizant, and many more. With 100+ hiring partners across Hyderabad, Bangalore, and pan-India, our placement network ensures you get the best opportunities after completing our Data Analytics course in Kukatpally.

      Is there a guaranteed interview opportunity after completing the course?

      Yes, WhiteScholars offers guaranteed interview opportunities to all students who successfully complete the Data Analytics certification course in Kukatpally. Our dedicated placement team prepares you with mock interviews, resume building, and LinkedIn profile optimization so you walk into every interview with full confidence.

      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.