Data Analyst Course in Hyderabad

Data Analytics Course in Hyderabad Overview

This course offers hands-on experience with industry projects and prepares you for real-world challenges. The course includes mock interviews and resume support for job readiness, which can help learners in the future.

What are the skills required to take up this data analyst course in Hyderabad?

Students, beginners, and professionals who wish to succeed in learning from our Data Analytics course must have some mathematical skills as a foundation.

Who can enroll in this Data Analytics Training in Hyderabad?

Following are the individuals who must take up this data analytics course in Hyderabad and upskill themselves:

IT Professionals
Marketing Managers
Banking Professionals
Sales Professionals
Data Analytics Professionals
Supply Chain Network Managers

What is the average salary for a data analyst in Hyderabad?

According to Glassdoor, the average income of a data analyst in Hyderabad is about ₹7L per annum

Why should you build your career in data analytics in Hyderabad?

The reasons why you should build your career in the data analytics field in Hyderabad are as follows:

Hyderabad offers over 600 available data analytics job opportunities, as per Indeed.
IBM estimates that by 2020, global job opportunities for data analytics professionals will reach approximately 2.72 million.

So, enroll in the best data analytics course in Hyderabad and land your dream job as a data analyst.

Why become a data analyst?

Data Analyst is among the most sought-after career options in today’s technologically advanced world. There are numerous job opportunities available in this domain which is one of the main reasons why you can opt for this career option.

As per IBM, jobs in this domain will rise by 15% by 2020, leading to the creation of more than 2.72 million jobs for Data Analytics professionals.

So, enroll in our Data Analytics courses in Hyderabad and land in your dream job as Data Analyst.

How are data analysts different from business analysts or data scientists?

Here are a couple of differences between Data Scientists, Data Analysts, and Business Analysts:

In terms of skill set, data analysts analyze the business requirements, while business analysts analyze the historical data and Data Scientist make decisions based on the given data
Data analysts perform the complete life-cycle of data analysis, whereas business analysts implement, build, analyze, and report the capabilities of business. Data scientists, on the other hand, perform statistical analysis to build Machine Learning systems

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Meet the Data Analytics Mentors

Dr. Balasubramanian R

Professor at IIT Roorkee

Dr. Balasubramanian is a Professor at IIT Roorkee. He completed his PhD from IIT Madras in Mathematics and Computer Science and has 20 years of experience.

Dr. Sushanta Karmakar

Associate Professor at IIT Guwahati

Dr. Sushanta Karmakar is an Associate Professor at IIT Guwahati. He received his Ph.D. from IIT Kharagpur in the Computer Science and Engineering department and has over 15 years of experience.

Dr. Narendra S. Chaudhari

Professor at IIT Indore

Dr. Narendra Chaudhari, Professor of Computer Science and Engineering at IIT Indore, Dr. Narendra Chaudhari, a Professor at IIT Indore, specializes in network security, mobile computing, and machine learning. He holds a Ph.D. from IIT Bombay and has previously served as the Director of VNIT Nagpur and Vice Chancellor of Uttarakhand Technical UniversityRead More

Chandresh Kumar Maurya

Professor at IIT Indore

Chandresh Maurya, a dynamic professor at IIT Indore with over 12 years of experience, excels in driving innovation and growth through his expertise in multimodal data processing, AI, ML, and DL. He has a proven track record of leading cross-functional teams and managing complex projects to deliver impactful solutions. His strategic vision and ability to tackle challenges have consistently enhanced operational efficiency and advanced research in Speech and NLP.Read More

Muthusamy Manigandan

Data Science Consultant, Ex-Apple

He comes with more than 16 years of experience and worked with top MNCs like Apple, Amazon, etc.

Dr. Surya Prakash

Associate Professor Department of Computer Science at IIT Indore

Dr. Surya Prakash, Associate Professor of Computer Science at IIT Indore, holds a B.Tech from IIT Kanpur, a Master’s from IIT Madras, and PhD from IIT Kanpur in Computer Science and Data Analytics with around 12 years of experience.

Dr. Vivek Kanhangad

Professor Department of Electrical Engineering at IIT Indore

Dr. Vivek Kanhangad did his Ph.D from Hong Kong PolyU. He specializes in computer vision, data analytics, pattern recognition, biometrics, and biomedical applications.

Birendra Kumar Sahu

Head of Data Engineering and Science at Razorpay

He has 15+ yrs of IT experience and currently working as CTO at Razorpay. He has contributed to 85 intellectual disclosure reports, 4 USA patents, and a lot of research papers.

Suman Mukhopadhyay

Senior Director & Head of Technology Infrastructure / Cloud and Data Analytics at EdgeVerve

He has 23 yrs of experience in IT and worked at top MNCs like AT&T, Yahoo, Walmart, etc. He has managed multiple large-sized teams and multiple Data Science & AI projects.

Shajee Pulukkool

Head - Data & Analytics at Rapyder Cloud Solutions

Shajee Pulukkool is working as the head of Data & Analytics. He comes with 22+ years of experience in software design & solutions.

What are the different job roles that I can apply for after this course?

Data Analyst

Data Analysts perform the entire life-cycle of data analysis, create reports and dashboards, identify trends, and monitor KPI metrics.

Data Scientist

A data scientist is responsible for performing statistical analysis to build machine learning systems statistical modeling to visualize insights and develop complex models from large datasets.

Data Analytics Specialist

A data analytics specialist collects, organizes, interprets, and summarizes numerical data to provide usable information.

Visualization and Reporting Analyst

Create data visualizations, such as reports, graphs, presentations, and dashboards, that are eye-catching, interactive, and easy to understand.

Business Intelligence Analyst

Identify, develop, and execute business analysis techniques to allow the team to make essential business decisions.

Business Analyst

Produce detailed reports and dashboards of high quality to give intuitive presentations.

11+ Skills to Master

Proficient in SQL

Knowledge in Data Wrangling Techniques

Analyzing Complex Datasets

Predictive Models and Algorithms

Skilled in Data Visualization Techniques

Time Series Analysis and Forecasting

Strong Foundation in Machine Learning

Data Modeling and Reporting in Power BI

Expertise in Advanced Statistics

Data Mining Techniques

Statistical Computing

Tools to Master

Course Curriculum

Live Course Industry Expert Academic Faculty

Getting Started with Foundations of Data Analytics

Diving into Structured Query Language (SQL) for Data Management

Preview

Gain a basic understanding of SQL, including the Entity Relationship Model (ERM) and database normalization concepts
Elaborate SQL operators and demonstrate operations such as joins and subqueries
Learn how to use stored procedures, views, and SQL functions to manipulate and retrieve data efficiently
Explain SQL optimization strategies to improve performance and manage database concurrency to maintain data integrity, consistency, and isolation

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Explore Python Programming Language for Data Analysis and Visualization

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Exploring the basics of Python programming and how to set up IDEs. Also, understand the fundamental concepts of Python, such as syntax, data types, operators, and control structures
Grasping the Object-Oriented Programming (OOP) concepts, including classes, objects, inheritance, and polymorphism
Acquire practical experience with data manipulation using Python libraries such as NumPy and Pandas and learn to visualize data

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Applying Essential Concepts of Statistics And Probability

Learn the concepts of Descriptive Statistics, covering measures of Central Tendency, Dispersion, and Data Visualization Techniques, and understanding the application of probability for decision-making and statistical modeling
Dive into Inferential Advanced Statistics, including hypothesis testing and confidence intervals

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Learn Machine Learning Algorithms and Advanced Analytics Techniques

Diving into Core Concepts of Machine Learning

Understanding Fundamental of Machine Learning Concepts: Supervised and Unsupervised Learning, Model Evaluation, Clustering algorithms, and Feature Engineering
Learn Regression and its types (linear, logistic, and polynomial regression)
Explore Classification Algorithms, covering Decision Trees, Support Vector Machines, and Neural Networks

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Examine Performance Metrics in Machine Learning

Learn how to develop Classification reports using metrics such as Precision, Recall, Accuracy, Macro average, and Weighted Average
Describe how to Use the Confusion Matrix for Model Evaluation and Monitoring

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Applying Advanced Techniques in Time Series Forecasting

Performing time series data analysis, gathering insights and practical forecasting solutions using time series forecasting

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Implementing Real-world Business Applications, Case Studies, and Capstone Projects

Exploring Business Applications, Case Studies, and Capstone Projects

Grasp different business domains such as finance, marketing, retail, and supply chain and articulate their distinct functions
Gain knowledge about formulating hypotheses for numerous business problems on samples and populations
Study about exploratory data analysis (EDA) and how it facilitates the foolproof production of actionable insights
Study how to narrate business problems and solutions in a simple, relatable format that makes them easier to understand, grasp, and recall
Develop actionable insights from raw, unstructured data to deploy real-world business solutions

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Building Data Analytics Capstone Project

Define the problem statement and project objectives to contrast the scope of the data analytics capstone project. Alongside, build an approach to solving the problem by implementing optimal solutions using data analysis and modeling techniques
Use evaluation metrics and actionable insights to assess the performance of the optimal solutions

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Explore the Real-Time Business Case Studies

In this case study on Customer churn, you will be using predictive modeling to find the causes of customer attrition to enhance customer retention
This case study on sales forecasting uses statistical methods and predictive analytics. It implements historical data and statistical techniques to predict future sales trends for better decision-making
Using Census Data for Demographic Insights, this case study analyzes demographic data to guide product development and targeted marketing strategies
This case study on predictive modeling focuses on real-world scenarios to improve decision-making and operational efficiency
This case study on HR Analytics uses workforce data to forecast turnover and improve recruitment and performance tactics
This case study on dimensionality reduction techniques illustrates the use of methods such as PCA to streamline datasets, improving model performance and efficiency
In this housing price prediction case study, implement statistical methods to predict real estate prices based on affecting factors
This case study on customer segmentation focuses on finding various customer segments for customized marketing and better experiences
In this inventory management case study, you will be using analytics to optimize inventory stocks, reduce capex and opex, and ensure product availability
In this case study on disease prediction, you will be implementing machine learning on patient data to analyze disease occurrence and take the necessary steps

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Elective

Learn Microsoft Excel for Data Analysis and Visualization

Preview

Mastering Excel For Data Analytics, Visualization, and VBA macros for automation
Explore the methods for ensuring data and file security

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Visualizations using Power BI

Demonstrate Data Visualization and Analytics with Power BI for Managing Reports and Dashboards
Explore real-time applications of DAX in developing reports and dashboards

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Job Readiness Training and Support Program

Learning Job Search Strategies to establish networking and interview skills
Learn how to build an effective resume and manage a LinkedIn profile
Interview Preparation and Mock Interview Sessions Led by Industry Professionals
Placement opportunities with 400+ hiring partners upon passing the Placement Readiness Test (PRT)

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Project Work

Projects will be a part of your Data Analyst program to consolidate your learning. It will ensure that you have real-world experience in Data Analytics.

Predicting a Flower's Class Using Petal Data

This project will help you predict a flower’s class. By analyzing the data about the petals and their dimensions, we will train a machine-learning model that can accurately predict a flower class by analyzing each petal.

Deploying Data Analytics on Census Dataset

The project uses machine learning techniques, such as supervised and unsupervised algorithms, to analyze and predict whether an individual's annual income is more than INR 50,000 or less based on various input parameters.

Model for Credit Card Fraud Detection

The project will develop a model that will assist in detecting credit card fraud by applying machine learning algorithms, such as supervised, unsupervised, reinforcement learning techniques, neural networks, and random forests.

Identifying Factors in Telecom to Opt for the Pre-paid Model

This project aims to analyze the factors that have the maximum impact on the preferences of pre-paid billing types and identify the highly correlated variables of these impacting factors.

Pokemon Analysis

Choose a Pokemon whose primary type is “grass" and whose secondary type is “poison” with the maximum speed. Using machine learning and data analysis techniques, develop a model that predicts whether the selected Pokemon is legendary or not.

Stock Market Price Analysis

This project will use machine learning to develop a predictive data model for predicting future stock prices. It will also use k-nearest neighbors and linear regression algorithms to analyze current stock market trends.

Comment Identity and Classification

Work on the Yelp comment dataset to deploy a multi-headed model to identify and categorize toxic comments (obscenity, insults, threats, etc.). It must enable the user to find and choose the necessary type.

Book Recommender

This project aims to develop a book recommendation engine based on an individual's past reading and buying history.

Loan Approval Prediction

The project seeks to determine the variables correlated with impacting factors to analyze the likelihood of the loan application being approved or denied. Methods like random forests, decision trees, and logistic regression are used to forecast it.

Netflix Prize Dataset using Recommendation Engine

The recommendation engine is developed using the Netflix prize dataset. It collects data about a user from numerous sources, anticipates their requirement, and recommends movies based on the user’s behavior and choices made earlier.

Data Analyst Training in Hyderabad Reviews

( 84,718 )

Shubham Shinde

Prasad Kulkarni

Naman Jain

Ramyasri Mandepudi

Recruiter at Goodwill Technologies

The lectures by the faculty from IIT Madras were amazing. The trainer explained each and every topic using real-life examples that were extremely helpful. I really liked the way of teaching and supporting the students in every step.

Remona Yacoop

Teacher at VIBGYOR Group of Schools

Great training program. It was an amazing experience learning from Intellipaat Data Analyst Course in Hyderabad. During this covid 19, it was extremely fruitful to learn and spend ample amount of time as a part of this institute. Intellipaat has also provided great support during the course. Besides, the instructor was very supportive in the course, guidance was also given to complete assignment and project which was very helpful.Read More

Kevin K Wada

Oracle Developer at Free Agent

The course is thorough, well-structured and provides a comprehensive learning in Data Analytics field. Also, the practice tests and projects helped me in building strong skills in analytics.

Karthikeyan Ganesan

Extremely grateful to Intellipaat The explanation of concepts and topics were simple and comprehensive. Moreover, the training material was relevant, up to date, and easily understandable. They have a great support team.

Sampson Basoah

Tableau Developer

This training in data analytics content is thoroughly prepared, updated, and taught by the instructor in-depth. The course content is taught step-by-step by the trainer. I was a beginner in the field of Data Analytics but this course helped me to become proficient in Data Analytics.Read More

Jijeemandati

Software Engineer at Akebono Soft Technologies

I found this training as one of the best in the market. The live classes are much more convenient to attend. The support team is prompt and the training content is Intellipaat’s key feature.

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Data Analytics Course in Hyderabad FAQs

Why should I learn a data analytics Course in Hyderabad?

Data Analytics Course in Hyderabad in association with IIT Roorkee is an industry-designed course, designed for you to fast-track your career in the domain of data analytics. If you don’t want to get into the nitty-gritty of programming and spend lengthy hours in coding necessary for becoming a Data Analyst, then Intellipaat’s courses on Data Analytics is for you.

The online data analytics courses involves the following:

You will work on real-life projects
You will work on industry grade assignments with high relevance in the corporate world
You can apply for best data analyst and data science jobs in top MNCs
You will get lifetime access to the course and the course material, along with lifetime upgrade and 24/7 support

What do you mean by data analysis?

Data analysis is the process of data cleaning, transformation, and reporting carried out to generate valuable information that can enable business decision-making.

What are the other best data analytics courses Intellipaat offers in Hyderabad?

Some of the best courses are Big Data, Data Science certification, Machine Learning, Artificial Intelligence, Python, Python for Data Science, and Business Analytics Course.

Does Intellipaat provide any free data analytics resources?

If you are looking for free resources on Data Analytics then read our blogs on Data Analytics tutorial, Data Analytics Interview Questions and also visit our Youtube channel for free videos.

What are the different tools used for data analysis?

The tools used for data analysis make the tasks of data processing, data manipulation, data analysis, and pattern and trend identification much easier. Some of the top data analysis tools are:

R programming
Tableau Public
RapidMiner
KNIME
Excel
Apache Spark
QlikView
Splunk
SAS

Is Data Analytics a good career?

A career in the Data Analytics domain is not just a good career option but one of the most popular careers today. You can find jobs in this domain across a diverse range of industries and companies around the globe by completing this training in Data Analytics.

As per the Bureau of Labor Statistics, the estimated growth rate for Data Analytics professionals will shoot up by 23% by the year 2026.

What is the difference between data analysis vs aata analytics vs data analyst?

Data Analysis: It’s a part of data analytics and involves tasks like cleaning, transforming, modeling, and querying data to extract useful information from a prepared dataset.

Data Analytics: This process includes discovering, interpreting, visualizing, and reporting patterns in data to inform business decisions and strategies.

Data Analysts: These professionals extract valuable insights from data. They possess technical know-how and communication skills to present findings to both technical and non-technical audiences, including clients and stakeholders.

What is the qualification for becoming a data analyst?

To become a data analyst, you must have the following qualifications:

For entry-level jobs, you need to have a Bachelor’s degree
For jobs at a higher-level position, you must have a Master’s degree
You should have a degree in the field of statistics, mathematics, computer science, or other similar domains.

How do I become a data analyst in Hyderabad?

For becoming a data analyst, you should meet the following criteria:

Gain a Bachelor’s or a Master’s degree in statistics computer science, or in the IT field
Acquire the skills required to become a data analyst
Gain experience in the data analytics field
Consider getting a certification from a reputed institute

You can attain all the necessary skills, gain real-time experience, and receive a certification with the help of Data Science with Python.

Where does Intellipaat provide Data Analytics Course near me in Hyderabad with placement?

Intellipaat offers Data Analytics Course in Hyderabad on different locations mentioned below-

Area	Postal Code
Medipalli	500098
A.G.College	500030
HMT Township	500054
Hal Hyderabad	500042
Kondapur	500084
Fatehdarwaza	500065
Begumpet	500016
Lingampalli	500019
Kattedan Ie	500077
Falaknuma	500053
Peerzadiguda	500039
Jillellaguda	500079
I.M.Colony	500082
Gajularamaram	500055
Banjara Hills	500034
Gachibowli	500032
Badangpet	500058
Film Nagar	500096
A.Gs. Staff Quarters	500045
Malakpet Colony	500036
Balanagar Township	500037
Amberpet	500013
Bharat Nagar Colony	500018
Chitkul	502307
Don Bosco Nagar	500086
Gsisr Bandlaguda	500068
Yakutpura	500023
Chaithanyapuri Colony	500060
Chandanagar	500050
Appa Himayathsagar	500008
Hyderabad Jubilee	500002
Meerpet	500097
Humayunnagar	500028
Aie Bollaram	502325
Chetlapotharam	502319
Srinagar Colony	500073
Gandhi Bhawan Hyderabad	500001
Darushifa	500024
Gandhinagar Hyderabad	500080
Sarada Nagar	500070
Barkatpura	500027
Gagan Mahal	500029
Elmela	502300
Sanjeev Reddy Nagar	500038
Manikonda	500089
Cyberabad	500081
Boduppal	500092
Dr.B R Ambedkar O.U	500033
Kphb Colony	500072
Huda Residential Complex	500035
Miyapur	500049
L B Nagar	500074
Ashoknagar Hyderabad	500020
Saidabad Colony	500059
Jntu Kukat Pally	500085
Bowenpally	500011
Icrisat	502324
Administrative Buildings	500007
Aziz Nagar	500075
Afzalgunj	500012
Karwan Sahu	500006
Gaganpahad	500052
Ibrahim Bagh Lines	500031
Putlibowli	500095
Bahadurpura	500064
A.Gs Office	500004
Bachupally	500090
A.I.E. R.C.Puram	502032
Ambernagar	500044

Data Analyst Course in Hyderabad

Rated #1 Data Analyst Course by Economic Times

Key Features

Data Analytics Course in Hyderabad Overview

What are the skills required to take up this data analyst course in Hyderabad?

Who can enroll in this Data Analytics Training in Hyderabad?

What is the average salary for a data analyst in Hyderabad?

Why should you build your career in data analytics in Hyderabad?

Why become a data analyst?

How are data analysts different from business analysts or data scientists?

Career Transition

Shubham Shinde

Meet the Data Analytics Mentors

Dr. Balasubramanian R

Dr. Sushanta Karmakar

Dr. Narendra S. Chaudhari

Chandresh Kumar Maurya

Muthusamy Manigandan

Dr. Surya Prakash

Dr. Vivek Kanhangad

Birendra Kumar Sahu

Suman Mukhopadhyay

Shajee Pulukkool

What are the different job roles that I can apply for after this course?

Data Analyst

Data Scientist

Data Analytics Specialist

Visualization and Reporting Analyst

Business Intelligence Analyst

Business Analyst

11+ Skills to Master

Tools to Master

Data Analytics Course Fees in Hyderabad

Online Classroom Preferred

Corporate Training

Course Curriculum

Getting Started with Foundations of Data Analytics

Diving into Structured Query Language (SQL) for Data Management

Explore Python Programming Language for Data Analysis and Visualization

Applying Essential Concepts of Statistics And Probability

Learn Machine Learning Algorithms and Advanced Analytics Techniques

Diving into Core Concepts of Machine Learning

Examine Performance Metrics in Machine Learning

Applying Advanced Techniques in Time Series Forecasting

Implementing Real-world Business Applications, Case Studies, and Capstone Projects

Exploring Business Applications, Case Studies, and Capstone Projects

Building Data Analytics Capstone Project

Explore the Real-Time Business Case Studies

Elective

Learn Microsoft Excel for Data Analysis and Visualization

Visualizations using Power BI

Job Readiness Training and Support Program

Project Work

Predicting a Flower's Class Using Petal Data

Deploying Data Analytics on Census Dataset

Model for Credit Card Fraud Detection

Identifying Factors in Telecom to Opt for the Pre-paid Model

Pokemon Analysis

Stock Market Price Analysis

Comment Identity and Classification

Book Recommender

Loan Approval Prediction

Netflix Prize Dataset using Recommendation Engine

Career Services

Data Analytics Certification in Hyderabad

Data Analyst Training in Hyderabad Reviews

Shubham Shinde

Prasad Kulkarni

Naman Jain

Ramyasri Mandepudi

Remona Yacoop

Kevin K Wada

Karthikeyan Ganesan

Sampson Basoah

Jijeemandati

Data Analytics Course in Hyderabad FAQs

Why should I learn a data analytics Course in Hyderabad?

What do you mean by data analysis?

What are the other best data analytics courses Intellipaat offers in Hyderabad?

Does Intellipaat provide any free data analytics resources?