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Learn Data Analytics -Online Data Analytics Course in Hyderabad

Launch your career in data with Entri’s data analytics course in Hyderabad. Learn tools, techniques & real-time projects from industry experts. No prior experience needed!

Course Type

Online

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Placement Assistance

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An Overview of Expert-Led Online Data Analytics Course in Hyderbad

Our data analytics course in Hyderabad equips you with real-world skills in Excel, SQL, Python, Power BI, and machine learning. With expert mentorship, live projects, and placement assistance, this program prepares you for a high-growth career.

Inclusive & Immersive Hybrid Training Sessions Icon

Inclusive & Immersive Hybrid Training Sessions

Industry Expert Sessions Icon

Industry Expert Sessions

80+ Live & Recorded Sessions Icon

80+ Live & Recorded Sessions

Soft Skill Sessions Icon

Soft Skill Sessions

Industry Networking Icon

Industry Networking

Placement Training Icon

Placement Training

Illinois Tech Certification Icon

Illinois Tech Certification

Data Analytics Skills Covered

The skills covered in this data analytics course will equip you to stand out as a data analyst

Data Analytics Placement Success: See Where Our Learners Work

Discover the inspiring journeys and career milestones of our talented data analytics students who have secured top industry placements

Data Analysis Tools You’ll Master

Unlock powerful insights — master the essential tools that drive success in data analytics

OpenCv Power BI Python Python Pandas Python Numpy matplotlib SQL DAX Seaborn Plotily logo Scikit logo Excel Jupyter_note_book Python Spyspark Beautiful_soup Selenium$_python google_collab Anaconda_ide Excel_power_query

Data Analytics Job Roles

What Exactly Does a Data Analyst Do? Lets Dive Deep into Roles!

Data Analyst

Data analysts gather, organize, and interpret data to provide valuable insights to businesses. They use statistical tools and techniques to identify trends and patterns and communicate their findings to key stakeholders. A data science and machine learning course equips individuals with skills in data manipulation, visualization, and analytics, making them a perfect fit for this role.

Business Intelligence Analyst

Business intelligence analysts are responsible for studying data to uncover trends and patterns that can assist companies in making informed decisions. They employ a variety of data analytics tools to collect information from various data sources and present it in a format that can be easily comprehended by stakeholders. This position necessitates strong analytical abilities, business expertise, and excellent communication skills.

Data Scientist

Roles and responsibilities include collecting, analyzing, and interpreting large amounts of datasets. The role also requires making use of statistical and machine learning techniques to identify trends and patterns in data.

Data Engineer

Being one of the most technical profiles in the whole of data science and analytics careers, this particular data analytics career closes the gap between software and application developers. The core responsibilities include designing and building infrastructure and systems that support data collection, storage, and analysis

Data Analyst Course Syllabus

Our structured curriculum covers fundamentals to advanced topics, including Excel, SQL, Python, data visualization, and live project work for real-world exposure.

  • Introduction to Data Analytics
  • Data Analytics Lifecycle,
  • Types of Data Statistics Basics (Mean, Median, Mode,Variance, Standard Deviation).
  • Introduction to Excel Interface
  • Basics of Excel
  • Spreadsheet basics
  • Data Entry.
  • Fundamentals of Excel
  • Insertion
  • Deletion
  • Importing Data
  • Table Creation
  • -sum()
  • min()
  • max()
  • count()
  • average()
  • if()
  • sumif()
  • countif()
  • averageif()
  • formatting text using right() left(), mid(), upper(), lower(),proper()
  • Introduction to Data Cleaning
  • Removing duplicate data
  • Handling missing data
  • Correcting inconsistent data
  • Text-to-columns and Flash Fill
  • Data Validations
  • Data transformation,
  • What-if analysis
  • scenario Manager
  • Removing unnecessary characters and spaces
  • Conditional formatting for data cleaning
  • Filtering and Sorting data in excel Descriptive Statistics
  • Mean
  • standard deviation, etc., using Analysis ToolPak
  • Mean, standard,deviation, etc., using Analysis ToolPak
  • TODAY
  • NOW
  • YEAR
  • MONTH
  • WEEKDAY
  • DATEDIF
  • VLOOKUP
  • HLOOKUP
  • XLOOKUP
  • INDEX
  • MATCH
  • Creating Pivot tables
  • Connecting multiple tables and show analysing and creating visualization with multiple tables.
  • Data Analysis and Visualization using Pivot Table
  • Charts and Graphs
  • Bar
  • Column
  • Pie
  • Line
  • Scatter
  • Combo charts
  • Sparklines
  • PivotCharts
  • Dynamic charts with slicers and filters
  • create and design interactive dashboard.
  • Installation of Power BI Desktop
  • Exploring the Power BI interface
  • Connecting to data sources
  • Importing Data into Power Query
  • Data Cleaning and Transformation: Handling Missing Data and Duplicate Data, Sorting and Filtering Rows, Aggregating and Grouping Data in Power Query
  • Normalization vs denormalization
  • Relationships in PowerBI
  • Cardinality
  • cross filter direction
  • Building Star schema data model
  • Calculated Columns and tables using DAX
  • Measures, Simple DAX Functions and Operators(Mathematical, Logical, Statistical & Text Functions)
  • Advanced DAX – Aggregations and Calculations(Aggregate, Filter, Datetime, Time Intelligence & Table Functions)
  • Bar
  • Column
  • Pie
  • Donut
  • Line,
  • Area,
  • Scatter
  • KPI & Gauge
  • Table
  • Matrix
  • Map
  • Tree map
  • Combo
  • Creating Hierarchies ; Filters, Slicers ; Drill-Downs
  • Learn how to apply Data Analysis using Excel and PowerBI, mini project spanning 10 days.

  • IS NULL,

  • IS NOT NULL

  • IN

  • NOT IN

  • BETWEEN

  • NOT BETWEEN

  • LIKE,

  • NOT LIKE

  • ORDER BY

  • LIMIT,

  • Aggregate functions,

  • GROUP BY, HAVING, INNER JOIN , LEFT JOIN, RIGHT JOIN, UNION, UNION ALL

  • Mathematical, String
  • Date & time
  •  User-defined function
  • Stored Procedures
  • Subqueries -single, multi-row; Views - simple, complex views, Triggers
  • DCL- GRANT, REVOKE ; TCL - COMMIT, SAVEPOINT, ROLLBACK - ACID properties, show connecting mysql and powerbi
Learn how to create and analyse databases using MySQL mini project, spanning 5 days.
  • String
  • String methods
  • String slicing
  • Tuple
  • Tuple methods
  • Immutable vs Mutable Data Types
  • Dictionary
  • Dictionary methods
  • Set
  • Set methods Frozenset
  • Conditional statements - if, else, elif, while loop ,else, break & continue with while loop, range; for loop ; else, break & continue with for loop; nested for loop ; enumerate ; List Comprehension
  • NumPy
  • NumPy arrays
  • Array operations and functions
merge, concat, join, group by

Visualization Using Matplotlib

  •  Scatter Plot
  • Line Chart
  • Bar Chart
  • Pie Chart
  • Histogram
  • Box Plot

VisualizationUsing Seaborn

  • Count Plot
  • Bar plot
  • Scatter plot
  • Line plot
  • Box plot
  • Histogram
  • Density Plot
  • Violin Plot
  • Swarm Plot
  • Heatmap
  • Pair Plot

Top Trending Blogs of Data Analysis and Data Analytics

Explore Trending Topics of Data Analytics

How to Become a Data Analyst? Skills Required

Discover the path to becoming a data analyst in this insightful blog. Learn about the essential skills you need, from mastering data tools like Excel, SQL, and Python to honing analytical thinking and communication abilities. Explore industry trends, career opportunities, and practical tips to kickstart your journey in the dynamic world of data analysis.

Data Science Vs Data Analytics

Data Science focuses on building models and using advanced techniques like AI to predict outcomes. Data Analytics is about analyzing existing data to find trends and insights. Both are key in today’s data-driven world, but their goals and methods differ.

Exploratory Data Analysis Techniques

EDA makes sure that the proper patterns and trends are made available so that the model may be trained to produce the desired results, much like a good recipe. As a result, using the appropriate EDA tool and appropriate data will help accomplish the desired result.

Data Analysis – Process, Methods, Types

Explore the steps, methods, and types of data analysis used to turn raw data into actionable insights.

Eligibility /Pre-requisities for Data Analytics Course

This course is ideal for fresh graduates, career changers, and working professionals with basic computer skills and a passion for data.

Basic Programming Skills icon

Basic Programming Skills

Familiarity with basic operations is helpful

Analytical Mindset icon

Analytical Mindset

Curiosity to explore and interpret data.

Problem-Solving Skills icon

Problem-Solving Skills

Formulate data-driven solutions, identify patterns and trends, and ability to apply logical thinking to solve complex problems with strong problem-solving and analytical skills.

Basic Mathematical skills icon

Basic Mathematical skills

Mastering fundamental mathematical concepts, like algebra, calculus, and probability, is essential.

See Where Our Students Are Working

Connect employers with a global network of recruitment partners to meet their hiring goals.

Webdura technologies Bz Analytics Bethelsoft-Technologies Approcker Techologies Clodium software Euclidz Eyerov Zennode Technologies Xynosoft Webova Web App Tech Solutions Veuz Innovations

Why Live Sessions?

Live sessions on data Analytics have several advantages that make them a valuable learning resource.

Interactive Learning

Get live explanations, practice, and expert support

Immediate Doubt Clearing

Get instant support

Instant Doubt Resolution

Clear your doubts on the spot with mentors.

Real Projects

Learn practical skills through hands-on assignments

Peer Interaction

Collaborate and learn with a live learner community

Live Sessions

Your Industry Mentors

Gain an edge in your career by accessing our team of experts who will provide invaluable guidance and support. Meet our team of mentors!

Data Analytics With Python Exam & Certification

Courses Recognised by

illinois Tech NSDC

Frequently Asked Questions

Illinois certification validates your proficiency and expertise across various industries. It can enhance your credibility and positively impact your career growth, earning potential, and professional fulfillment. Obtaining Illinois certification opens up opportunities for career advancement and high-paying jobs, bringing ample career opportunities and enhancing your professional success.

Illinois certification is best for IT freshers. This certification program provides comprehensive training and education on various aspects of IT, including programming languages, software development, database management, and more.

Illinois certification helps freshers build a strong foundation in IT. It equips them with the necessary skills to succeed in their careers and to get better job opportunities with higher salaries.

What Our Students Are Saying

Enrolled by Students
4.8 (89 Ratings)

Key Learning Outcomes of Data Analytics Course

The key takeaways from the "Entri Data Analytics" course are as follows

Perform end-to-end data analysis using Excel, SQL & Python

Perform end-to-end data analysis by leveraging Excel for quick exploration and reporting, SQL for precise data extraction, and Python for advanced analytics, automation, and visualization to deliver actionable insights from raw data.

Build business dashboards using Power BI and Tableau

Clean, transform, and interpret raw data into actionable insights that drive informed decisions and create measurable business impact

Gain hands-on experience with real-time data projects

Gain hands-on experience with real-time data projects to apply analytical skills in practical scenarios, solve real-world challenges, and build job-ready expertise.

Master storytelling with impactful visualizations

Master storytelling with impactful visualizations to communicate complex data insights clearly, engage your audience, and drive data-informed actions.

Live Sessions

Frequently Asked Question about Data Analytics Course in Hyderabad

Course pricing varies. Entri offers flexible and affordable payment options.
Basic computer skills and an interest in data are enough to get started.
Typically 3 to 4 months, including live projects and certification.
A course completion certificate recognized by leading companies is provided.
Yes! The course is beginner-friendly and requires no prior coding skills.
Companies like Infosys, TCS, Deloitte, Accenture, and startups hire analysts.
Focus on live mentorship, placement support, curriculum quality, and recognized certifications—like Entri’s program!

Find Your Program and Up-skill

Entri App Highlighted in the News

Advantages of Learning Elevate Data Analytics Course

Elevate Learning Experience

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Student Support

Available all-day, using Slack for urgent queries.

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Q&A Forum

Timely doubt resolution from peers and mentors

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Expert Feedback

Personalized feedback on assignments and projects

Industry Networking Icon

Industry Networking

Live doubt clearing sessions with Industry Experts

Career Support

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Personalized Industry Mentorship

Get personalized feedback and mentorship from an experienced data specialist to enhance your career path.

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Resume Review

Get personalized guidance on your resume structure and content.

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Live profile-building workshops

Build your profile with hands-on sessions, whether on your résumé, GitHub, or Kaggle platform.

Explore Our Free Data Analytics Courses! 💻🎓

Who Can Apply For the Course

  • Students
  • Professionals
  • Career Switchers
  • Job Seekers
  • House Wifes
  • Un-employers
  • Freelancers
Who can apply
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    Data Analyst interview questions and answers