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Data Analytics Course

If you want to level up your career, taking data analytics courses can really help. Whether you’re just starting out or want to sharpen your skills, these courses are a great way to get into the world of data. By choosing a best data analytics course, you’ll learn the tools and methods needed to understand and work with data. From the basics to more advanced techniques, the right data analytics courses can give you a strong base that could really enhance your job opportunities.

Online Fees

Starts at Rs. 50000

Hours of Learning

90 Hours

Duration

3

Months

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Advanced Generative AI Certification Course

Master the skills that shape the future of technology with the Advanced Certificate Program in Generative AI, a 5-month generative AI course by upGrad.

No Cost EMI

Starts at Rs. 6,458

Start Date

Starts at Rs. 6,458

Duration

4 Months

Introduction to Data Analytics Course

Course Snapshot

Hours of Learning
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Industry Projects
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GenAI Tools
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This data analytics courses takes you through the basics and moves on to more advanced topics like data visualisation and predictive modelling. It’s perfect for beginners or anyone looking to polish their skills. You’ll learn practical things using tools like Excel, SQL, Python, and Power BI. The course includes real projects, experienced instructors, and training to prepare you for the job market. Whether you want to change careers or advance in your current job, selecting this best data analytics course  can help you succeed in data analytics.

Group 44

Why Choose the Data Analytics Course?

Learn data skills that companies want, using actual tools and doing projects. This course helps you connect data to making smart choices, so you can get ahead in your career faster.

Key Highlights of Data Analytics Course

What does this course have to offer?

Our curriculum covers in-demand industry relevant topics

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Start with a free course in AI today

Learn about various machine learning techniques, their applications and use cases. Furthermore, you will learn about deep learning and understand how it differs from machine learning.

Advance your career with in-demand skills

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

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Key Highlights of Generative AI Course

Earn valuable credentials and recognition

Make your portfolio stand apart with an Advanced Certification in Generative AI

Courses

Meet Our Expert Team

Learn more about the experts who will be supporting your learning
journey and helping you achieve your career goals
photoee

CA Ashna Bharath Pillai

Business & Tax Regulatory​

photoee

CA Ashna Bharath Pillai

Business & Tax Regulatory​

photoee

CA Ashna Bharath Pillai

Business & Tax Regulatory​

photoee

CA Ashna Bharath Pillai

Business & Tax Regulatory​

World-Class Curriculum

Master Data Analytics with a World-Class Curriculum

Get good at data analysis with our top-notch program. You’ll learn from pros and get real-world experience, so you’ll be ready to explore it in the world of data.

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

Duration : 7 Weeks

Machine Learning I:

This introductory course explores the foundational machine learning concepts, starting with Linear Regression and its practical applications. It then covers Logistic Regression and Naive Bayes, highlighting their use in classification tasks. Finally, the course covers model selection techniques to ensure the best performance of machine learning models in various scenarios.

Topics Covered:

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

What you'll learn

Skills you'll gain

Instructors

Group 1722

IBM Skills Network Team

IBM
58 Courses • 1,041,505 learners

Group 1722

IBM Skills Network Team

IBM
58 Courses • 1,041,505 learners

Analytics Course Highlights

Skills You Will Acquire

Data cleaning techniques

Data visualization skills

SQL query writing

Statistical analysis methods

Predictive modeling basics

Business intelligence insights

Data-driven decision-making

Digital Marketing Course Career Outcomes

What our learners have achieved?

A quick summary of the placement support received by this program’s alumni

32%

Avg. Salary Hike

86%

Learners Achieving their Outcomes

3500+

Successful Transitions

250+

Hiring Partners

Top Recruiters

Digital Marketing Course Eligibility & Admissions

How To Apply

The application journey is simple and straightforward, and can be completed in three easy steps.

Fill the Application Form

Fill out the application form on the Finprov's Official website

Get Shortlisted

You will receive a shortlisting email based on your profile

Block Your Seat

Secure your seat by paying the course fee

Industry Experts - Digital Marketing and Communications

Learn from Seasoned Industry Practitioners

Start with a free course in AI today

Learn Data Analytics and open up lots of job choices. Get the skills to turn data into useful advice and help companies win in today’s world.



FAQ

Frequently Asked Questions

The application journey is simple and straightforward, and can be completed in three easy steps.

Who can enrol in this course?

This course is open to anyone who wants to learn about data analytics in detail.

The course is meant for both beginners and pros who want to improve their skills in data analytics.

Yes, you’ll receive a certificate after successful completion of this course.

No! We’ll guide you through it all in real-time. Just make sure you have your laptop, a good internet connection.

You can learn Data Analytics really well, which will help you get ready for in-demand jobs in data analysis arena.

Unlock Your Future – Apply Now and Jumpstart Your Career!




 ✅ Master In-Demand Skills

 ✅ Get Job-Ready Fast