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Data Analyst Course in Pune

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 Pune.

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

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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Online Data Analytics Course Overview

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

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.

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.

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.

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

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

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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6+ Tools to Master

Adv Excel SQL Power BI 1 Presto python 1 Knime 1

Data Analyst Course Fees in Pune

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 Pune 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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Data Analytics Syllabus

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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Data Analytics Projects

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 Analyst Certification

Advanced Certification in Data Analytics Click to Zoom

Our Data Analytics Training is created by experts from top MNCs so that professionals can get the most suitable jobs in the best organizations. Further, these Data Analytics Online Courses include real-time projects and case studies that are highly valuable in the corporate world.

After finishing the course, you will receive the Data Analyst Course certification from Intellipaat and iHUB IIT Roorkee. Along with that, you will also be able to pass the following certifications:

  • SQL Certification
  • Power BI Certification

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FAQ

About iHUB Divyasampark, IIT Roorkee

iHUB DivyaSampark at IIT Roorkee, recognized under the National Mission on Interdisciplinary Cyber-Physical Systems (NM-ICPS) by the Department of Science and Technology (DST), with emphasis on promoting innovation in more advanced technologies such as AI, ML, and more. The hub is pivotal in technology development, incubation, and startups, particularly in sectors like healthcare, Industry 4.0, smart cities, and defense.

To meet market demands and promote a self-reliant India, iHUB DivyaSampark is working with industry and government to advance CPS by integrating smart devices with next-generation technologies.

Our Data Analytics Certification Course is in association with iHUB IIT Roorkee. It is industry-designed and developed for you to fast-track your career in Data Analytics. If you don’t want to get into the nitty-gritty of programming and spend long hours coding, then this program is for you.

This online Data Analyst Course involves the following:

  1. Real-time industry experience via real-life projects
  2. The course is completely aligned with job descriptions listed by Fortune 500 companies.
  3. You will receive lifetime access to the Data Analyst Course and its material, a lifetime upgrade, and 24/7 support.

If you are looking for free resources on Data Analytics, check out our YouTube channel for free videos and our blogs on data analytics tutorials and interview questions.

Data Analysis is the process of data cleaning, transformation, and reporting that produces essential information which can help in better decision-making.

Here are some of the top Data Analytics tools/programming languages:

  • R programming
  • Power BI
  • Python Programming
  • QlikView
  • RapidMiner
  • KNIME
  • Excel
  • Apache Spark
  • Splunk
  • SAS

A career path in Data Analytics is a promising choice and one of today’s most renowned careers. After completing this training, you can find jobs in this field at various global companies and industries.

The Bureau of Labor Statistics predicts that the demand for Data Analytics professionals will increase by 23% by 2026.

To become a Data Analyst, you must have the following things:

  • A Bachelor’s degree for entry-level jobs.
  • A master’s degree for higher-level positions.

A bachelor’s degree is required to work as a Data Analyst. The degree need not be from a specific discipline; however, a degree in computer science, probability, or mathematics can be beneficial; however, it is not compulsory. Focus on developing skills first, then qualifications.

For those who prefer to learn at their own pace, i.e., through recorded videos, Intellipaat provides self-paced training. You will also receive benefits from this training, such as lifetime access to the LMS for learning modules and email query resolution. Also, you will get the updated version of the Course material at no additional cost.

To be eligible for the placement pool, the learner must complete the Data Analyst training and submit all projects and assignments. After this, they must pass the Placement Readiness Test (PRT) to enter the placement pool and access our job portal along with career mentoring sessions.

Intellipaat helps fresh college graduates with its placement assistance programs. Once you clear the PRT, you will be moved to the placement pool.

Intellipaat’s Data Analyst course, in collaboration with IIT Roorkee, aims to equip learners with a comprehensive understanding of statistical techniques, regression analysis, data blending, extraction, and forecasting methodologies. It focuses on mastering data visualization tools like Power BI, for organizing data effectively, designing insightful dashboards, and acquiring practical skills through real-world case studies and projects to enhance career prospects in data analytics.

The overall time duration of this course is 7 months.

Intellipaat provides 24×7 query resolution, so you can raise a ticket with your doubts to our support team anytime. Please feel free to email us with any questions you may have.

If email does not resolve your doubts, we can arrange one-on-one sessions with our technical support staff. However, 1:1 session support is offered for six months from the start date of your course.

All learners who have finished the training and advanced to the placement pool after passing the PRT (Placement Readiness Test) are eligible for placement assistance from Intellipaat. More than 500+ top MNCs and startups hire Intellipaat learners. Our alumni work with Google, Microsoft, Amazon, Sony, Ericsson, TCS, Mu Sigma, etc.

Our job assistance feature will help you get interviews; however, how you perform in the interview depends on how well you have learned the skills in the program. We can only help you prepare for these interviews. For instance, we will help you get mock interview sessions from industry experts so that you know what you will face in your real interview.

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Data Analyst Course in Pune

Pune, also known as the “Queen of the Deccan” or the “Oxford of the East,” is a vibrant metropolis in the western Indian state of Maharashtra. Geographically, it is situated on the Deccan Plateau, at an altitude of 560 meters (1,840 feet).

The city enjoys a mild climate, with average temperatures ranging from 20°C to 25°C (68°F to 77°F) throughout the year. Summers can be hot, with temperatures reaching up to 35°C (95°F), but they are rarely oppressive. Winters are mild, with temperatures rarely falling below 15°C (59°F).

Pune is a major centre for education, research, and technology. The city is home to several prestigious universities and colleges, including the University of Pune and the Indian Institute of Science, Education, and Research (IISER) Pune. Pune is also home to a growing IT industry, with several major IT companies having offices in the city.

Some highlights of the city include: