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Data Analytics for Decision Making

Take your decision-making skills to the next level with our Data Analytics for Decision Making program. In this program, you will learn how to study data in a simple way. You will understand how to look at information, find useful insights, and use them to make smarter business decisions. You will learn practical methods to notice trends, find new opportunities, and solve problems faster. The program focuses on practical exercises. You will use data in real workplace situations. This helps you understand how analytics works and lets you see the results clearly and quickly. By the end of the program, you will feel more confident. You will be able to make decisions using data. This will help you perform better and create good results for your team and your organization.

No Cost EMI

Start Date

Starts at Rs. 6,458

Duration

Choose Your Perfect Course

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 for Decision Making Program

Program Snapshot

Hours of Learning

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Industry Projects

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GenAI Tools

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Make smarter decisions and achieve more at work with Finprov’s Data Analytics for Decision Making program! This program helps you understand information quickly and choose the right option with confidence. You will learn how to use simple data from daily work and turn it into useful ideas. These ideas will help you take the right actions, support your team, and get better results. You will practice with real work examples. This helps you see how the right data can make work easier, clear your doubts, and help you know what choice to make. By the end, you will feel ready to take the next step. You will make smarter decisions, do your work better, and stand out at your workplace.

Master Data Analytics for Smarter Decisions!

Learn how to understand and use data to make better choices at work. Discover practical ways to turn information into insights that improve tasks, support your team, and boost your performance every day.

Key Highlights of Data Analytics for Decision Making Program

What does this program have to offer?

Our curriculum covers in-demand industry relevant topics

Data Collection & Management
Data Visualization
Insight Interpretation
Trend Analysis
Process Improvement
Strategic Decision Making
Performance Measurement
Reporting & Dashboards
Task & Workflow Optimization

The Data Analytics for Decision Making program is designed to help you understand and use data effectively in your daily work to make smarter decisions and deliver meaningful results for your team and organization.

Technology-driven firms
Data-focused companies
Consulting organizations
Finance and accounting firms
Marketing and digital agencies
Operations-led enterprises

This program is ideal for professionals who want to work smarter using data, simplify decision-making, and deliver more value to their teams and organizations. It helps participants gain confidence in using insights to drive better results every day.

Unlock the Power of Data Analytics!

Work smarter and make your decisions count! Learn how to interpret data, uncover meaningful insights, and take actions that improve results for your team and organization. Turn information into impact and lead with confidence!

Key Highlights of Generative AI Course

Earn valuable credentials and recognition

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

Courses

Learn from industry experts

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

CA Anand Kumar

CEO

CA Veena Vijayan

COO

CA Deepa

Business Valuation Expert

CA Shameema Shajahan

Corporate Training Lead- UAE

CA Anish Thomas

Academic Head - Karnataka

World-Class Curriculum

Master Marketing with a World-Class Curriculum

Prepare for a career in the high-growth field of data analytics. In this program, you’ll learn in-demand skills like Python, Excel, and SQL to get job-ready in as little as 4 months.

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:

Data Analytics for Decision Making Program Highlights

Skills you'll acquire

Insight-Driven Decision Making

Data Interpretation & Analysis

Reporting and Dashboarding Skills

Process and Workflow Optimization

Customer Behavior Insights

Business Performance Innovation

Strategic Planning Using Data

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 upGrad portal

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

Become a Skilled Data Analytics Professional!

Start your journey in data analytics and discover how to turn information into insights, make smarter decisions, and add real value to your team and organization. Step up and transform the way you work today!

FAQ

Frequently Asked Questions

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

Who should take this program?

This program is ideal for employees, team leads, managers, and professionals who want to use data effectively to make smarter decisions and improve outcomes for their team and organization.

Do I need prior experience in data analytics?

No prior experience is required. The program is beginner-friendly and designed to help participants gradually build practical skills in analyzing and interpreting data.

How will this program help me at work?

You’ll learn how to use data to make informed decisions, streamline processes, and prioritize tasks more effectively. The program also helps you contribute more confidently to team projects and business goals.

What skills will I gain from this program?

Participants will gain hands-on skills in data analysis, insight interpretation, reporting, process optimization, and using data to make clear, actionable decisions.

Can my team benefit from this program?

Yes. Teams will learn to collaborate more efficiently, base decisions on reliable data, and address real business challenges more effectively, creating stronger results together.

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