About Data Science Foundation (DSF) DS2010

The Data Science Foundation (DSF) program is the perfect entry point for anyone curious about how information is turned into insights. This isn't just a series of definitions; it’s a hands-on introduction to the tools and mindset that the pros use every day. We focus on building your confidence from the ground up, moving from basic concepts to a clear understanding of how machine learning actually works. Sprintzeal’s data science foundation training provides a friendly, step-by-step path to mastering the core basics like Python, Statistics, and Visual Analytics. By connecting the dots between raw data and real-world decisions, we ensure you walk away with a solid base to build your future. This IABAC-backed program is your first step toward becoming a key player in the data-driven economy.

Data Science Foundation (DSF) DS2010 Key Features 100% Satisfaction Guarantee

  • Official IABAC® Globally Verified Credential
  • High-Performance Live Cloud Lab Access
  • Beginner-Friendly Project-Based Learning
  • 1000+ Practice Exam Success Questions
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Why is right now the best time to join a data science foundation course?

Data is the fastest-growing field right now, and an introductory data science certification proves you have the fundamental grit companies need. Entry-level professionals with these skills often see starting offers that are 20% higher than general IT roles. You aren't just learning a tool; you're learning the language of the modern world.
Stop relying on guesswork and start using evidence to drive your work. Teams that master data science basics for beginners report much higher efficiency because they actually understand the "story" behind their weekly reports. By showing you can interpret data accurately, you become an essential asset to any forward-thinking team.
Every advanced AI or Machine Learning skill starts with a strong foundation. This data literacy certification ensures you don't just "memorize" code but actually understand the logic behind Python and Statistics. It’s the perfect way to start a career in data science with the confidence that your skills are built on a rock-solid base.

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Course Agenda

Course Agenda

Company Brochure

Company Brochure

This IABAC-backed program takes you behind the scenes of the "first steps" that make a data expert successful. Forget just staring at complex formulas; we get straight to the part where you see how data actually lives and moves in the real world. You'll learn how to separate the noise of "Big Data" from the actual insights that help a company grow. This journey covers everything from basic project workflows to the first principles of making machines learn.

We’ve built this data science foundation course to be the ultimate bridge into the tech world, regardless of your current background. Instead of just learning tools, you’ll discover how to think like an investigator—identifying a problem, collecting the right clues, and testing your theories until you land on a solution that actually works. By the time you wrap up your learn data science foundations path, you'll have a handle on the full data lifecycle, blending human intuition with technical logic to solve real-world puzzles through this data science training for non-technical professionals.

Data Science Foundation Course Description

Our specialized training provides a complete view of the field without overwhelming you with technical jargon. We move beyond simple definitions and show you how to use tools like Python and SQL to handle data safely and effectively. You’ll learn how to work with small datasets first, mastering the art of "wrangling" before moving on to the more complex world of machine learning and visual storytelling.

The curriculum also dives into the "real-world" side of the job—how different industries, from retail to healthcare, actually use these entry-level data analyst skills to stay ahead. You’ll learn how to create charts that don't just look good but actually explain a difficult concept to a non-tech audience. By the end, you’ll be a versatile beginner who can contribute to any data conversation and build, test, and explain basic AI-driven features with total clarity.

 

This program is built around these six practical goals to make sure you are ready for the job:

  • Grasp the Essentials:
    Understand the core differences between Big Data and Analytics.
  • Practice with Python:
    Learn to use basic syntax to clean and manage data.
  • Simplify the Stats:
    Use foundational math to prove your findings are accurate.
  • Visualize the Results:
    Create clear charts and plots that tell a compelling story.
  • Unlock Machine Learning:
    Learn the "why" behind supervised and unsupervised models.
  • Solve Real Puzzles:
    Apply practical logic through hands-on project examples with this
    basic data analytics certification.

 

When you finish this training, you’re walking away with a toolkit that is the starting point for some of the highest-paying jobs in the world. You’ll be able to:

  • Clean and "wrangle" raw data using Python so it’s actually ready for analysis.
  • Explain the difference between correlation and causation so you don't draw the wrong conclusions.
  • Build simple machine learning models that can categorize information automatically.
  • Create visual dashboards that help your team see exactly what’s happening in a project.
  • Present your findings in a way that helps your company make better, faster moves.

 

Today, every industry is scrambling to build a team that actually understands what their numbers are saying. From healthcare to high finance, the demand for data science for beginners has never been higher because companies need people in every seat—not just the IT department—who can turn facts into action. You don't need a background in engineering to make waves; mastering entry-level data analyst skills is the ultimate way to start a career in data science and show you have the mindset to lead in a digital world.

Once you’ve mastered these basics, you’ll be ready for entry-level roles such as:

  • Junior Data Analyst:
    You’ll be the one helping the senior team clean up and visualize data for big presentations.
  • Business Insights Associate:
    You'll use your stats knowledge to spot trends in sales or user behavior that others might miss.
  • Marketing Coordinator (Data):
    Instead of just guessing what works, you’ll be the one using data to prove which campaigns are actually profitable.
  • Operations Support:
    You’ll help find the "bottlenecks" in a business process using basic data science logic.

 

Exam Pattern and Structure

  • Exam Name: Data Science Foundation (DSF)
  • Exam Code: DS2010
  • Format: Computer-based Multiple-Choice Questions (MCQs).
  • Question Count: 25 focused questions with three difficulty levels.
  • Time: You have a full 60 Minutes to finish.
  • To Pass: You need a score of 60% or higher.
  • Exam Mode: Closed book with webcam and screen recording.
  • Results: Preliminary results in 9 days; official results within 15 days.

Complete Course Syllabus Breakdown

  • Part 1: Data Science Foundation (Workflow, Roles, and Applications)
  • Part 2: Statistics for Data Science (Exploratory Analysis and Distributions)
  • Part 3: Python for Data Science (Syntax, Numpy, Pandas, and Wrangling)
  • Part 4: Visual Analytics Foundation (Basic Charts and Plots)
  • Part 5: Machine Learning Foundation (Supervised vs Unsupervised Learning)

Certification Validity and Renewal

Your DSF badge is a lifetime achievement, but it’s designed to be your first step toward more advanced certifications like the CDS or CDSD. Your digital certificate is easily verifiable online and can be shared directly to your professional profiles. It serves as your "proof of foundation" as you continue to build your career in the fast-moving world of AI and data.

Prerequisites for Enrollment

The best part about this program is that there are no mandatory certificates required to start. We welcome everyone from marketing pros to students. Having a basic handle on logic and a curious mind is all you need. While some knowledge of math or coding can help, we start right at the beginning to ensure no one is left behind.

 

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At the Foundation level, we want to make sure you have the "rules of the road" down by heart. This timed, 25-question test is the best way to prove to future employers that you have the core concepts in your head and ready to use, without needing to check a textbook every five minutes.

 

Not at all. While we use math, we focus on the practical side—the "why" instead of just dry formulas. If you can think through a problem logically and enjoy finding patterns, we’ll show you exactly how to handle the numbers.

 

Yes. Even at the foundation level, we keep our eye on 2026 trends. You’ll learn how the basics you are mastering today are the same building blocks used to create the advanced AI tools that everyone is talking about right now.

 

Do You Have Questions ? We'll help you to grow your career and growth.

Frequently Asked Questions

We don't just teach from a book. Our instructors are actual pros who have worked in the field for years. Because we focus on the skills you actually use on the job, you can trust that our methods are designed to help you master the material quickly and effectively.

 

Definitely. We know your schedule is likely busy, so we offer weekend sessions and evening live meetups. You can build your technical future without having to step away from your current role and paycheck.

 

You won't be left alone to figure it out. Our cloud labs come with 24/7 help. If a script isn't running or a concept is being stubborn, our mentors are a quick message away to help you troubleshoot until everything clicks.

 

As soon as you wrap up your training sessions, we’ll get your course completion certificate over to you right away. This is your "green light" to take the IABAC exam. Once you clear that final step, you’ll hold a globally recognized credential.

 

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