Foundations of Data Science

  • BeginnerLevel

  • 300+Students Enrolled

  • 1 HrDuration

  • 4.8Average Rating

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About this Course

  • Dive into Data Science fundamentals, explore real-world applications, master skills like data analysis and visualization gain insights to shape innovations in this hands-on course.
  • Learn statistical analysis, machine learning, and data engineering; take live quizzes to test knowledge, compare roles like Analyst, Engineer, Scientist for industry career paths.
  • Discover technical skills to explore the Data Science career and data-driven innovations

Learning Outcomes

Intro to Data Science

Learn foundational concepts terminology processes and tools.

Understand Data Roles

Identify responsibilities of analyst, engineer, and scientist

Data Science Skill sets

Explore technical skills sets required for the data science career.

Who Should Enroll

  • Aspiring professionals with no prior data experience seeking a comprehensive introduction to Data Science.
  • Students and graduates aiming to build foundational skills for data-driven careers in any industry.
  • Career switchers in tech or business wanting practical knowledge in data analysis, visualization, and tools.

Course Curriculum

Explore a comprehensive curriculum covering Python, machine learning models, deep learning techniques, and AI applications.

tools

  1. 1. Introduction

  1. 1. With and Without Data Science

  2. 2. From Data to Data Science

  3. 3. Data Science Tomorrow

  1. 1. Data Engineer vs Data Analyst vs Data Scientist

  2. 2. A Day in the Life of a Data Scientist

  3. 3. Technical Skills for Data scientists

  4. 4. Non-Technical Skills and Best Practices

Meet the instructor

Our instructor and mentors carry years of experience in data industry

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Kunal Jain

Founder & CEO, Analytics Vidhya

Kunal has 15+ years of experience in the field of Data Science and is the founder and CEO of Analytics Vidhya- the world's 2nd largest Data Science community.

Get this Course Now

With this course you’ll get

  • 1 Hour

    Duration

  • Kunal Jain

    Instructor

  • 4.8

    Average Rating

Certificate of completion

Earn a professional certificate upon course completion

  • Globally recognized certificate
  • Verifiable online credential
  • Enhances professional credibility
certificate

Frequently Asked Questions

Looking for answers to other questions?

A Data Scientist combines technical prowess, statistical reasoning, and business insight to transform raw data into high-impact solutions. Their multidisciplinary skill set makes them indispensable in any organization striving for data-driven success.

A Data Analyst collects, processes, and performs basic analyses on datasets to help businesses understand trends and make informed decisions. They focus on cleaning data, creating visualizations (e.g., charts, dashboards), and generating reports that summarize insights for stakeholders.

A Data Engineer builds and maintains the infrastructure and pipelines that collect, store, and process large volumes of data (using tools like Apache Spark, Hadoop, or SQL-based warehouses). A Data Scientist, on the other hand, sits “downstream”—they use that prepared data to develop statistical models, machine learning algorithms, and actionable insights. In short, engineers enable data flow; scientists turn that data into predictions and recommendations.

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