Data Analyst Course in Pune [by IIT Roorkee Faculty]

Data Analytics Course in Pune Overview

Throughout the Data Analytics course in Pune, you will actively engage in a range of projects and assignments with real-world applications. These practical tasks are designed to facilitate smooth career advancement.

What will you cover in this Data Analyst Course in Pune?

In this online Data Analytics certification in Pune, you will gain in-depth knowledge of the following topics:

Excel
Data wrangling with SQL
Presto (SQL Interface)
Intro to Data Science and Statistics
Business Problem Solving across different domains
Optimization techniques
Predictive Modelling
Time- Series Forecasting
Feature Engineering
Advanced Machine Learning Techniques
Data Science Execution Strategy
Business Case Studies
Power BI
Data Science Capstone Project

Why become a Data Analyst in Pune?

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.
There are over 1,600 new job opportunities for Data Analysts in Pune and about 10,852 jobs in India – Indeed

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

What are the skills required to enroll in this Data Analyst Course in Pune?

You do not need to have any prior skills to take up this course. However, having some knowledge of statistics, probability, and data analysis before signing up for this course can be helpful.

What is the average salary for a Data Analyst in Pune?

According to Glassdoor, the average income of a data analyst in Pune is about ₹6L per annum. This may increase to ₹10L per annum with more experience and better work quality.

How Data Analysts are 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 historical data, and Data Scientists 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 the business. Data Scientists, on the other hand, perform statistical analysis to build Machine Learning systems

Why should you go for the Data Analyst Course in Pune?

Today Data Analytics is one of the top domains as we are living in a data-driven world. If you want to get ahead in your career, then you need to learn Data Analytics as it is being deployed in every organization regardless of the industry. Through this online training by iHUB IIT Roorkee (An Innovation Hub of IIT Roorkee), and Intellipaat, you will work on real-world data analytics projects and case studies so that you can get hands-on experience in this domain.

A Data Analyst at Microsoft Corporation earns an average salary of $115,000 per year – Indeed
The USA faces a shortage of 165,000 Data Analysts & 1.5 managers with Data analysis skills – McKinsey
There are over 30,000 jobs available for Data Analysts in the United States alone – LinkedIn

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Career Transition

Shubham Shinde

Data Analyst | India

Hear My Story

300% salary hike

Intellipaat training helped me crack interviews successfully and transition to a data analytics role with a 300% hike at Deloitte. The support staff and mentorship from seasoned educators have greatly contributed to my career growth. Read More

Business Intelligence Specialist

Data Analyst

Aditya Ahuja

Data Analyst | India

Hear My Story

130% salary hike

Successful career transition from a quality analyst to a data analyst at Accenture. Intellipaat’s Data Analyst training and excellent placement assistance fetched me offers from companies like Mindtree, Cognizant, and Accenture.

Software Test Engineer

Data Analyst

Vishal Sharma

Senior Analyst | India

Hear My Story

Job with a 300% hike

I was able to successfully make an internal transition from a business analyst to a senior analyst. The data analyst training has helped me effectively execute the projects in my organization. I am glad to have chosen Intellipaat.

Business Analyst

Senior Analyst

Kiran Kulkarni

Sr. Data Analyst | India

Hear My Story

Non-tech to Tech

I started working in the BPO sector. I wanted to grow in some technical domains and eventually chose data analytics. I found this Course immensely interesting, and the support staff was of great help.

BPO Associate

Sr. Data Analyst

Lucky Bajetha

Data Analyst | India

Hear My Story

Job as Data Analyst

After completing my B.Tech, I was working in human resources. While pursuing Intellipaat’s data analyst course, I mentioned it in my resume, which made a great impact. I started getting calls from various MNCs like Infosys, Capgemini, and EY. Read More

Human Resource Executive

Data Analyst

Akinola Obafemi Sanyaolu

Hear My Story

Non-tech to Data Analyst

Intellipaat has guided me to take the right course where I learned the latest tools and technologies from R to Tableau, MS Excel, and SQL, allowing me to switch my career from sales to a tech role.

Project Manager

Data Analyst

Shehzin Mulla

Marketing Data Analyst | India

Hear My Story

Job with a salary hike

Thanks to Intellipaat, I was able to shift from a data analyst to a marketing data analyst with a 35% salary hike and gain a deep understanding of analytics.

Data Analyst

Marketing Data Analyst

Mahesh Chowdary

Data Scientist | Hyderabad

Non-tech to Tech

Today, I am a certified data scientist, and this happened after I enrolled in this data science course. It covers all the necessary concepts and techniques in lucid language. I am thankful to Intellipaat for giving me this chance at career growth. Read More

Aircraft Maintenance Engineer

Data Scientist

Jeanette Masso

Big Data Developer | USA

Good salary hike

The course helped me make a career transition from computer technical specialist to big data developer with a 60% hike. The online interactive sessions hosted by the trainers are the best thing about Intellipaat.

Computer Technical Specialist

Big Data Developer

Bhawna Kaliraman

Data Science Intern | Gurugram

Lecturer to Data Scientist

From a lecturer to a Data Scientist, all thanks to Intellipaat. The data science course offered me a platform to learn data science from the best trainers. The real-life projects were amazing.

Lecturer

Data Science Intern

55% Average Salary Hike

$1,22,000 Highest Salary

10000+ Career Transitions

300+ Hiring Partners

Career Transition Handbook

*Past record is no guarantee of future job prospects

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

Preview

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.

Training Reviews

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Shubham Shinde

Prasad Kulkarni

Naman Jain

Aashutosh Acharya

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Rahul Arora

Nandigama Vaishnava Dhaatri

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Srinivas Janagam

Gella Yaswanth Kumar

Abhilasha Kumari

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Divakar Kashetty

Remona Yacoop

Melvin Rodrigues

Allen Jose

Ramyasri Mandepudi

Recruiter at Goodwill Technologies

The trainers are amazing and the lectures included thorough understanding of all the concepts. Real life examples and the career mentoring sessions are useful at every step.

Kevin K Wada

Oracle Developer at Free Agent

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

Sampson Basoah

Tableau Developer

The course content is updated, industry-relevant and taught in-depth by the instructors. The instructors at Intellipaat are well-experienced. The Data Analytics course has helped me put the skills into practice

Karthikeyan Ganesan

Extremely grateful to Intellipaat. The explanation of topics and concepts were simple and comprehensive. Also, the content was up-to-date and understandable, and the support team was equally helpful.

Remona Yacoop

Teacher at VIBGYOR Group of Schools

Great experience learning from Intellipaat. In COVID, the Data Analytics courses proved to be helpful as it provided flexibility in learning. The trainers provided guidance in completing projects and assignments.

Sagnik Biswas

Programming Analyst at Cognizant

It was a great learning experience offered by the trainers of Intellipaat. They provided proper explanation, direction and with the included practice tests you can master the course.

Prachi Mohan

Business Analyst at Enterprio

The training provides enough study material, hands-on assignments, and projects that help learners gain more knowledge and required skills. The trainers and support team were very co-operative.

Mudit Aggarwal

Process developer at Genpact

I am pursuing this program currently and the learning has been great. Trainers are professional and use real industry based scenarios to explain the topics. Also, the live classes are interactive.

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 Analyst Course in Pune FAQs

Why should I learn Data Analytics Course in Pune from Intellipaat?

Intellipaat’s Data Analytics course in Pune 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 long hours in coding necessary for becoming a Data Analyst, then Intellipaat’s courses on Data Analytics are for you.

The online Data Analytics courses involve 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 the best Data Analyst and Data Science jobs in top MNCs
You will get lifetime access to the course and the course material, along with a lifetime upgrade and 24/7 support

What are the other best Data Analytics courses Intellipaat offers in Pune?

Some of the best courses are Big Data, Data Science certification, Machine Learning, Artificial Intelligence, Python, Business Analyst, 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.

Is Data Analytics a good career?

A Data Analytics career is not merely a promising option; it currently ranks among the most in-demand professions. Completing a Master’s in Data Analytics opens doors to a multitude of job opportunities spanning various industries worldwide. According to the Bureau of Labor Statistics, Data Analytics professionals can anticipate a remarkable 23% growth rate by 2026.

How do I become a Data Analyst?

To pursue a role as a Data Analyst, you must fulfill certain requirements. This includes obtaining a Bachelor’s or Master’s degree in fields like statistics, computer science, or IT. Equally important is the acquisition of the requisite skills for Data Analysis and gaining practical experience in the field. Enhancing your qualifications can be achieved by obtaining a certification from a well-regarded institute specializing in Data Analytics.

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

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 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:

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

What is the difference between Data Analysis, Data Analytics and Data Analyst?

Here are the differences, elaborated further:

Data Analysis: Data Analysis is a subset of the broader field of Data Analytics. Data Analysis consists of specific actions such as data cleaning, transformation, modeling, and questioning to help find useful information from a single and already prepared set of data.

Data Analytics: Data Analytics involves the process of discovering, interpreting, visualizing, and reporting the patterns in data that can drive business strategy, decisions, and outcomes.

Data Analysts: Data Analysts are those professionals who come up with meaningful insights from the data. They have both the technical expertise and the communication skills to derive and present quantitative findings to technical and non-technical teams, clients, and stakeholders.

Can I become a Data Analyst without any college degree?

Having a college degree in the field of mathematics, probability, or computer science can definitely be beneficial. However, it is not mandatory for you to have the same. The main requirement for becoming a Data Analyst is that you need to possess the necessary skills in this domain. So, having a degree by enrolling yourself in Data Science training courses can help you immensely; however, it is still a secondary requirement.

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.

What kinds of projects are included as part of the Data Analyst Course in Pune?

Intellipaat offers industry-relevant projects like data analytics on census data, stock market analysis, pokemon research, and loan approval prediction. These hands-on projects allow you to apply your acquired skills in real-world settings, ensuring your readiness for the industry.

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

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

Area Name	Postal Code
Bajirao Road	411002
Yerwada	411006
Kasba Peth	411011
Dhanori	411015
Pune City	411022
Hadapsar S.O	411028
Airport	411032
Afmc	411040
Karve Road	410038
Ammunition Factory Khadki	411003
Aundh	411007
Dapodi	411012
Gokhalenagar	411016
Kudje	411023
Kothrud	411029
Mundhva	411036
Tingre Nagar	411000
A.R. Shala	411004
Baner Road	411004
Magarpatta City	411013
Botanical Garden	411020
Khadakwasla	411024
Lokmanyanagar	411030
Bibvewadi	411037
Bhavani Peth	411042
Dhayari	411041
Dhankawadi	411043
C D A O	411001
Shivajinagar	411005
Parvati	411009
9 Drd	411014
Armament	411021
Donje	411025
Bopkhel	411031
Bhusari Colony	411038
Haveli	411045
Jambhulwadi	411046
Lohogaon	411047
Khondhwa	411048
Anandnagar	411051
Navsahyadri	411052
Chatursringi	411053
Gokhalenagar	411055
Warje	411058
Mohamadwadi Kadvasti	411060
Janaki Nagar	411066
Aundh	411067
Pimpri Chinchwad	411078
Nanded	411230
Gondhale Nagar	412029
Sathe Nagar	412047
Alandi Devachi	412105
Ambarvet	412115
Ashtapur	412207
Manjari Farm	412307
Phursungi	412308
Viman Nagar	411014
Shaniwar Peth	413337

Data Analyst Course in Pune

Rated #1 Data Analyst Course by Economic Times

Key Features

Data Analytics Course in Pune Overview

What will you cover in this Data Analyst Course in Pune?

Why become a Data Analyst in Pune?

What are the skills required to enroll in this Data Analyst Course in Pune?

What is the average salary for a Data Analyst in Pune?

How Data Analysts are different from Business Analysts or Data Scientists?

Why should you go for the Data Analyst Course in Pune?

Career Transition

Shubham Shinde

Aditya Ahuja

Vishal Sharma

Kiran Kulkarni

Lucky Bajetha

Akinola Obafemi Sanyaolu

Shehzin Mulla

Mahesh Chowdary

Jeanette Masso

Bhawna Kaliraman

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 Analyst Course Fees in Pune

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

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 Pune

Which organizations recognize iHUB IIT Roorkee Data Analytics Certification in Pune?

How long is iHUB IIT Roorkee Data Analytics Certification in Pune valid?

Training Reviews

Shubham Shinde

Prasad Kulkarni

Naman Jain

Aashutosh Acharya