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Data Analyst Course in Hyderabad

84,718 Ratings

Rated #1 Data Analyst Course by Economic Times

Become a Data Analyst by mastering Data Analysis tools and techniques with our Data Analytics Course in Hyderabad.

  • Data Analytics Training in Hyderabad by iHUB IIT Roorkee (An Innovation Hub of IIT Roorkee)
  • Get Data Analysis Training from eminent IIT Faculty & top Industry Experts
  • Master Python, SQL, Machine Learning algorithms, MS. Excel, and Power BI
  • 2 Days Campus Immersion at IIT Roorkee
  • Get Placement Support upon Data Analyst Course completion in Hyderabad
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Key Features

50+ Live sessions across 7 months
218 Hrs of Self-paced tutorial videos
Get 200 Hrs of Project & Exercises
Learn from industry professionals and IIT Faculty
1-on-1 sessions with industry mentors
LinkedIn profile review and resume assistance
24*7 Support
No-cost EMI Option
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Data Analytics Course in Hyderabad Overview

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.

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

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

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.

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.

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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Career Transition

55% Average Salary Hike

40 LPA Highest Salary

10000+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

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.

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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

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Tools to Master

Adv Excel SQL Power BI 1 Presto python 1 Knime 1

Data Analytics Course Fees in Hyderabad

Online Classroom Preferred

  • Everything in Self-Paced Learning, plus
  • 50+ Live sessions across 7 months of Instructor-led Training
  • One to one doubt resolution sessions
  • Attend as many batches as you want for Lifetime
  • Job Assistance
Weekday (Tue-Fri)

10 Dec 2024 07:00 AM - 09:00 AM
Weekend (Sat-Sun)

14 Dec 2024 10:00 AM - 01:00 PM
Weekend (Sat-Sun)

14 Dec 2024 08:00 PM - 11:00 PM
85,044 10% OFF Expires in

EMI Starts at

₹5,000

We partnered with financing companies to provide competitive finance options at 0% interest rate with no hidden costs

Financing Partners

EMI Partner

The credit facility is provided by a third-party credit facility provider in Hyderabad and any arrangement with such third party is outside Intellipaat’s purview.

Corporate Training

  • Customized Learning
  • Enterprise Grade Learning Management System (LMS)
  • 24x7 Support
  • Enterprise Grade Reporting

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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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  • 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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  • 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

  • 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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  • 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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  • 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

  • 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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  • 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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  • 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

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

Career Services

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Offering Placement Assistance
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Get an Exclusive access to Intellipaat Job portal
Guide Mock Interview Preparation
1-on-1 Sessions for Career Mentoring
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Offering Career-Oriented Sessions
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Guide for Resume & LinkedIn Profile Building
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Data Analytics Certification in Hyderabad

Advanced Certification in Data Analytics Click to Zoom

Our Data Analytics course in Hyderabad was created by eminent IIT Faculty and industry experts; it will help you get top jobs in the best organizations. This data analytics online course includes real-time projects and case studies that are highly valuable in the corporate world.

You will receive the Data Analytics Certification from Intellipaat and iHUB IIT Roorkee. Along with that, you will also be able to clear the following certifications:

  • SQL Certification
  • Power BI Certification

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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:

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

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

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.

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

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.

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.

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.

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.

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
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Data Analytics Course in Hyderabad

Hyderabad, often referred to as the “City of Pearls” or the “Pearl City,” is a dynamic urban center located in the southern part of India, specifically in the state of Telangana. Geographically, it is situated on the Deccan Plateau, at an elevation of approximately 505 meters (1,654 feet).

The city experiences a diverse climate, with hot summers and relatively mild winters. Average temperatures range from 25°C to 40°C (77°F to 104°F) during the summer months, and winters see temperatures ranging from 10°C to 22°C (50°F to 72°F). The monsoon season, typically from June to September, brings relief from the summer heat with occasional heavy rainfall.

Hyderabad is renowned for its rich history, vibrant culture, and economic significance. The city has emerged as a major hub for the technology industry, earning it the moniker “Cyberabad.” It hosts several IT parks and is home to global IT giants, playing a significant role in advancing the nation’s information technology industry.

Key highlights of Hyderabad include: