Applied Statistics Real World Problem Solving
Course Overview: Applied Statistics: Real-World Problem Solving
Forget boring formulas and complicated math talk, this course is all about using statistics to actually solve problems that matter. From business and marketing to healthcare and research, you’ll learn how to make sense of numbers, spot patterns, and back your ideas with real data. Whether you’re new to stats or just want to apply it better in your work or studies, this course breaks it all down in simple steps. It’s practical, hands-on, and focused on how to use statistics, not just learn it.
Curriculum by Industry Expert
Mentors are Tech leads
Skill Level Intermediate
Certification of Completion
Tools you master
What will you learn
Statistics Made Simple
- Understand averages, percentages, and distributions with real examples.
- Learn how to find patterns, trends, and “what stands out.”
- Break down problems using data, not guesswork.
Turning Data into Insights
- Clean and organize messy data for analysis.
- Use visualizations to tell clear, data-backed stories.
- Create reports that explain the “why” behind the numbers.
Testing Ideas with Data
- Learn when results are “just luck” or actually meaningful.
- Use tests like t-tests and chi-square the simple way.
- Measure if your marketing campaign, product change, or policy worked.
Real-World Use Cases
- Analyse customer feedback to improve service.
- Use survey data to understand trends and needs.
- Solve business or social problems using data-backed decisions.
Making Decisions with Confidence
- Learn to question your assumptions and use data to confirm or challenge them.
- Communicate findings to teams, clients, or leadership clearly.
- Make smarter choices in projects, careers, and life using stats.
Working with Everyday Tools
- Analyse data using Excel and Google Sheets.
- Explore statistical models in Python using libraries like Pandas and Statsmodels.
- Build visual dashboards with Power BI or Tableau to support your conclusions.
Whom will you learn from ?
Sivaram is an AI Solution Architect with expertise in AI technologies like Generative AI, Computer Vision, and Machine Learning.
Vikas Patel, an IITian, is a Machine Learning Scientist at Nykaa with extensive experience in insurance, healthcare, finance, and e-commerce.
Sagnik Pal is a seasoned expert in leveraging AI and cutting-edge technologies to drive transformative business outcomes.
Senior Data Scientist at PwC, Data & Analytics and Engineering Specialist
As the Head of Technology at Blue Data, I help enterprises accelerate their data and AI transformation strategy.
As a Lead Data Scientist with 11 years of IT experience, I have conducted over 60 training sessions in Generative AI, ML/AI, and AWS.
Mohit is an AI/ML and Data enthusiast, and has been working with data, analysis, AI, and strategy & insights for 12+ years.
Project Associate in MathWorks GNSS Project | AI & Machine Learning | Data & Video Analytics | Generative AI & NLP for Business Solutions.
Co-Founder &CEO - CognisysAI Pvt. Ltd. || CTO - Incline Inventions Pvt. Ltd.
Senior Data Scientist with a wealth of experience in the fields of Computer Vision(CV), Natural Language Processing (NLP) & structured data analysis.
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Your Applied Statistics Real World Problem Solving
Certificate is Awaiting
Industry-recognized certification
This certificate proves your ability to apply statistical thinking to real-world challenges. Whether you’re evaluating data from a campaign, designing a survey, or spotting business trends.
Effortless Sharing of Your Achievement
Once you complete the course, you can easily share your certificate on LinkedIn, add it to your resume or professional profile, or showcase it in project portfolios. It tells potential employers and collaborators that you’re not just data-literate, you're data-confident.
Boost Your Professional Productivity
With your new skills, you’ll be able to clean and explore data, test ideas, and draw conclusions that guide action. Whether you're in marketing, healthcare, business, research, or just curious you now have the tools to make sense of the world through data.
FAQ's
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