Data Analytics Training in Hyderabad

   Elite Trainers from Esteemed Institutions

  Hands-On Learning Through Projects

  Comprehensive Course Curriculum

  Real World Data Application Practice

  Career-Boosting Support and Guidance

  100% Job Placement Assistance

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Data Analytics Training in Hyderabad:

Are you ready to dive into the world of data analytics and harness its potential for informed decision-making? Our Data Analytics Training in Hyderabad program is designed to equip you with the skills and knowledge needed to extract valuable insights from data and drive meaningful outcomes. You will be learning topics like including Excel, SQL, Tableau, Power BI, Python and Statistics and more. One of the key skills we focus on as a part of our course is effectively analyzing large sets of data. As a part of this program, you'll learn how to collect, clean, and analyze large sets of data using industry-leading tools and techniques. These skills are invaluable for businesses looking to make informed decisions based on empirical evidence. By mastering data analysis, you'll be able to uncover valuable insights that can drive strategy and improve business performance. By the end of this Data Analytics Course in Hyderabad program, learners will become fully competent and job-ready experts.

Data Analytics Training in Hyderabad Course Overview:

Our Data Analytics Training in Hyderabad is a comprehensive course that equips students with the skills and knowledge needed to excel in the field of analytics. This course covers a wide variety of topics, including Excel, SQL, Tableau, Power BI, Python and Statistics. Students will learn how to use popular analytics tools such as Python, as well as techniques for analyzing big data sets. One unique aspect of this course is its focus on real-world applications. Students will have the opportunity to work on hands-on projects and case studies that simulate real-life business scenarios. This practical approach allows students to gain valuable experience and apply their knowledge in a meaningful way.

In addition, this program also emphasizes the importance of communication skills. Students will learn how to effectively present their findings and insights to both technical and non-technical audiences. This skill is essential for success in the field of analytics, as it enables professionals to translate complex data into actionable recommendations for businesses. Overall, Analytics Course in Hyderabad program offers a comprehensive curriculum that prepares students for a successful career in analytics. With its focus on real-world applications and emphasis on communication skills, this program provides students with the necessary tools to excel in today's data-driven world.

Course Curriculum

                                                        Tableau

  1. Introduction to Data Visualization & Tableau Connecting to Various Data Sources
  2. Data Transformations for Analysis
  • Unions & Joins
  • Common Join Types
  • Data Blending
  • Live Connections vs. Extracts
3. Data Manipulation (Structuring Data)
  • The Sheet Interface
  • Dimensions & Measures
  • Discrete vs. Continuous
  • Sorting Data
  • Grouping Data
  • Creating Sets
  • Defining Hierarchies
  • Filters
  • Marks Card

4. Creating Charts & Graphs

  • Cross Table & Text Table
  • Highlight Tables
  • Bar Chart
  • Stacked Bar Chart
  • Line Chart
5. Bubble Chart
  • Scatter Plot
  • Dual Axis & Combined Axis Charts Word
  • Cloud
  • Funne Chart
  • Heat Maps
  • Creating Maps etc..

6. Calculated Fields, Table Calculations & Parameters
7. Dashboard & Stories
8. Get Industry Ready

  • Create Industry Level Project
  • Hands-on experience on various tips & tricks with Tableau Data visualization best practices
  • Prepare for Tableau Interview

                                                Microsoft Power BI

1. Introducing Power-BI Desktop
  • Overview of Power-BI
  • Power-BI Platform Types
  • Why Power-BI
  • Exploring Power-BI
  • Power-BI vs Excel
  • Three Components of Power-BI

2. Connecting & Shaping Data
  • Data Connectors
  • Connection Modes
  • Intro to Power Query
  • The Query Editor
  • Data QA & Profiling
  • Data Cleaning
  • Table Transformations
  • Calendar Tools
  • Combine & Append Queries M
  • Language
3. Design and Create a Data Model
  • Data Modeling 101
  • Normalization Facts
  • & Dimensions
  • Primary & Foreign Keys
  • Cardinality
  • Filter Flow
  • Star & Snowflake Schemas
  • Hierarchies
  • Managing Relationships

4. Calculated Fields With DAX

  • DAX 101
  • Columns & Measures
  • Row & Filter Context
  • DAX Syntax Common
  • Functions

  • Text, Date Functions
  • Calculate
  • Iterators
  • Time Intelligence

5. Visualising Data

  • Data Viz Best Practices
  • Formatting & Filtering
  • Bookmarks
  • Report Interactions
  • User Roles
  • Parameters Custom
  • Tooltips Mobile
  • Layouts
  • Slicer panels
  • Report navigation
  • Row-level security
  • Optimize reports
  • Filtering
  • Interaction Controls
  • Top N Cards
  •  

6. Artificial Intelligence & Optimization tools

  • Anomaly Detection
  • Smart Narrative Q&A
  • Visual Decomposition
  • Tree Key Influencers
  • Top Segments

  • Optimize Ribbon Pause
  • Visuals Optimization
  • Presets Apply all Slicers
  • Performance Analyzer
  • External Tools

7. Get Industry Ready

  • Create Industry Level Project
  • Hands-on experience on various tips and tricks with Tableau Data
  • visualization best practices
  • Prepare for Tableau Interview

                                             Business Statistics & EDA

  1. Introduction to Qualitative & Quantitative
  2. Scales of Measurement – Nominal / Ordinal / Interval / Ratio Types of
  3. Statistics
  4. Descriptive Statistics

  • Measures of Central Tendency
  • Measures of Dispersion or Spread or Variability
  • Measures of Distribution – Shape
  1. Histogram
  2. Skewness – Left & Right
  3. Normal Distribution
5. Sampling Distribution
6. Inferential Statistics

Inferential Statistics

7. Hypothesis Testing (t-test, chi-square
8. Measures of Association between two continuous variables

                                           EDA Using Matplotlib

1.Summary Statistics
2. Data Distributions
3. Outlier Detection and Management 
4. Charts & Graphs
5. One Dimensional Charts 
6. Histogram
7. Bar Chart
8. Two – Dimensional Charts Bar 
9. Charts (Stack & Dodge) Scatter 
10. Plots
11. Box Plots
12.
Fancy Charts – Bubble Charts, Word Clouds

                                         Python for Data Analytics

1. Python Programming Introduction Data
2. Types & Data Structures Control 
3. Statements
4. Functions
5. User Defined Functions
6. Python Packages
  • Numpy
  • Pandas
  • Matplotlib & Seaborn (Data Visualization)

                                                    EXCEL

  • Sort
  • Filter
  • Excel Overview
  • Creating a New Workbook
  • Navigating in Excel Moving
  • the Cell Pointer Using Excel
  • Menus
  • Previewing & Printing a Worksheet
  • Switching Between Sheets in a Workbook
  • Inserting & Deleting Worksheets
  • Renaming & Moving Worksheets
  • Hiding Columns, Rows & Sheets
  • Splitting & Freezing a Window
  • Inserting Cell Comments
  • Editing, Clearing, & Replacing Cell Contents Cutting,
  • Copying, & Pasting Cells Moving &
  • Copying Cells with Drag and Drop
  • Collecting & Pasting Multiple Items Using the Paste Special Command Inserting and Deleting Cells,
  • Rows, & Columns Using Undo, Redo
  • Checking Your Spelling Finding & Replacing Information
  • Using Excel Toolbars: Hiding, Displaying, and Moving Toolbars
  • Entering Values in a Worksheet & Selecting a Cell Range

                                                Formulas

  • Creating a Basic Formula
  • IF, Nested Ifs
  • IFNA, IF
  • Error Vlookup
  • HLookup
  • XLookup
  • Sumif & Sumifs
  • Countif & Countifs
  • Averageif & Averageifs Match
  • Index
  • Text Functions
  • Date Functions
  • Editing & Copying Formulas Fixing Errors in Your Formulas
  • Formulas with Several Operators and Cell Ranges

                             Data Analysis & Pivot Tables

  • Creating a PivotTable Specifying the Data,
  • a PivotTable Analyzes
  • Changing a PivotTable's Calculation
  • Selecting What Appears in a PivotTable
  • Grouping Dates in a PivotTable
  • PivotTable Formatting
  • Conditional-Formatting
  • Data Validation
  • Data Consolidation
  • Text To Columns
  • Remove Duplicates
  • Record Macros Pivot
  • Chart
  • Slicing

                            Data Visualization Using EXCEL

  • Creating a Chart
  • Chart Formatting
  • Changing a Chart Type and Working with Pie Charts Adding
  • Titles, Gridlines

                                Get Industry Ready

  • Dashboard Building Tips & Tricks Data
  • Cleaning Demo
  • Sample Project Demo
  • Review and Recap
  • Final Project: Call Centre Analysis & Apparel Manufacture Analysis
  • Conditional-Formatting
  • Data Validation
  • Data Consolidation
  • Text To Columns
  • Remove Duplicates
  • Record Macros Pivot
  • Chart
  • Slicing

                                               SQL

1. Introduction to SQL
  • What is SQL
  • Overview of the SQL Language SQL
  • Database Structure Advantages of
  • SQL
2. Data Definition Language (DDL)
to SQL
  • Introduction to DDL
  • Creating Database and Tables Modifying
  • and Deleting Tables
3. Data Manipulation Language (DML)
  • Introduction to DML
  • Retrieving Data using Select Statement Inserting
  • Updating and Deleting data
Basics
  • Syntax of Queries Drop
  • Database, Tables
  • Insert Into, Update, Alter, Truncate, Delete
  • Constraints, Primary Key, Foreign Key
  • Select Statement
  • Commenting Query
  • Filtering, Grouping, Sorting & Limiting
Intermediate
  • Aggregation
  • Group by
  • Having
  • Case, Coalesce

  • Text Functions
  • Date & Time Functions
  • Order Of Execution & Order of Writing

Advanced SQL
  • Joins Subqueries
  • Common Table
  • Expressions (CTE)
  • Views
  • Temporary Tables
  • Stored Procedures and Triggers Advanced
  • Query Optimization Window Functions
Get industry Ready
  • Review and Recap
  • Final Project: Superstore Sales Analysis

What is Data Analytics?

Data analytics is the process of examining large sets of data to uncover hidden patterns, insights, and trends. It involves collecting raw data from various sources, organizing and cleaning it, and then analyzing it using advanced techniques such as statistical modeling, machine learning algorithms, and visualization tools. This allows businesses to make informed decisions by identifying opportunities for growth, understanding customer behavior, predicting future outcomes, and optimizing operational processes.

One key aspect of data analytics is its ability to provide actionable insights that drive business strategy. By utilizing descriptive analytics to understand historical data trends and predictive analytics to forecast future outcomes, organizations can take proactive measures to address challenges or capitalize on emerging opportunities.

Targeted Audience for Data Analytics Course in Hyderabad Program:

The targeted audience for a Data Analytics Course is vast and diverse, ranging from working professionals looking to enhance their decision-making skills to graduates seeking to enter the competitive job market. This course is also intended for

  • Database People
  • Excel Experience
  • Statisticians
  • Bsc Stats Students
  • Mac Stats Students
  • Data Warehousing , Business Intelligence
  • Market Research Analyst

                                                Microsoft Power BI

1. Introducing Power-BI Desktop
  • Overview of Power-BI
  • Power-BI Platform Types
  • Why Power-BI
  • Exploring Power-BI
  • Power-BI vs Excel
  • Three Components of Power-BI

1. Introducing Power-BI Desktop
  • Overview of Power-BI
  • Power-BI Platform Types
  • Why Power-BI
  • Exploring Power-BI
  • Power-BI vs Excel
  • Three Components of Power-BI

Why Choose Our Data Analytics Training in Hyderabad Course?

One of the reasons why our training is considered the best in Hyderabad is because of our experienced faculty members. Our trainers have years of industry experience and deep knowledge of analytics tools and techniques. They bring this expertise to the classroom, providing practical insights and guidance that cannot be found in textbooks or online tutorials.

Another factor that sets us apart is our focus on industry-relevant skills. We understand that analytics is a rapidly evolving field, and what may be relevant today might become obsolete tomorrow. Therefore, we make sure to update our curriculum regularly, incorporating the latest trends and technologies. This ensures that our students are well-prepared for the current job market and can easily adapt to new challenges. At our institute, we are committed to providing you with the best training experience. Here's what sets our Data Analytics Training apart:

Expert Instructors

Learn from seasoned data analysts who bring real-world insights into the classroom, guiding you through the intricacies of data analysis.

Practical Approach

Gain hands-on experience through interactive projects, real-world case studies, and simulations that mirror the challenges you'll face in your career.

Cutting-Edge Curriculum

Our curriculum is thoughtfully crafted to cover a wide spectrum of data analytics techniques, tools, and methodologies, ensuring you're well-versed in the latest industry practices.

Career-Focused

Our training is designed to make you job-ready. From resume building to interview preparation, we provide comprehensive career support to help you stand out in the competitive job market.

Guidance from Industry Experts

Flexible Learning

Choose between in-person classes or online sessions, allowing you to tailor your learning experience to your schedule.

Job Opportunities after the Completion of Data Analytics Course Training in Hyderabad

Completion of Data Analytics Training in Hyderabad opens up a world of job opportunities in various industries. With the rise of data-driven decision-making, companies are increasingly seeking professionals who can interpret and analyze large sets of data to provide insights and drive business growth. From finance to marketing, healthcare to retail, opportunities abound for those with strong analytical skills.

With the increasing demand for analytics professionals across all sectors, successful completion of Data Analytics Course in Hyderabad program gives you endless possibilities when it comes to finding employment. Whether as Data Scientists mining valuable insights from vast amounts of information or as Business Analysts guiding organizations towards better decisions through data analysis, the future looks bright for those who take on the challenge of mastering data analytical skills.

Are you ready to take your career to new heights? Enroll in our Data Analytics Training program. Embrace the future of Data Analytical Operations!

Testimonials

Hear From Those Who Transformed Their Careers Through Our Data Analytics Training
This program revolutionized my understanding of data analysis. The hands-on projects were incredibly insightful, and the instructors' expertise truly enhanced my skills. I now feel confident approaching complex datasets and extracting meaningful insights.
A fantastic journey into the world of data analytics! The curriculum strikes a perfect balance between theory and practice and making sure you grasp the concepts and apply them effectively.  And The real-world case studies were a game-changer. Stand Out from the Crowd!
I can't speak highly enough of the career support provided. The guidance I received helped me land in my dream job in a top analytics firm. The training not only taught me data analysis but also how to market myself as a valuable asset in the industry.

Frequently Asked Interview Questions:

1. Is prior experience in data analytics required to enroll in Analytics Training in Hyderabad?
No prior experience is necessary. Our Data Analytics training in Hyderabad program caters to beginners, as well as those looking to enhance their existing data analytics skills.
2. What tools and software will I learn during the Data Analytics Course in Hyderabad?
You'll gain proficiency in tools like Excel, Python, R, and data visualization tools. Our Data Analytics Course in Hyderabad covers a range of software to prepare you for various analytics tasks.
3. How will this Data Analytics Training in Hyderabad benefit my career?
Data analytics is in high demand across industries. This Data Analytics Training in Hyderabad equips you with the skills needed to excel in roles such as data analyst, business analyst, and more.
4. Will I receive a certificate upon completing the Data Analytics Training in Hyderabad?
Yes, you will receive a certificate of completion our Data Analytics Training in Hyderabad course that validates your skills and knowledge in data analytics.
5. What kind of projects can I expect to work on?

As a part of this Data Analytics Course in Hyderabad program, you'll work on real-world projects involving data cleaning, analysis, visualization, and interpretation, providing you with practical experience.

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