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Skills you will learn

  • Exploratory data analysis
  • Descriptive statistics
  • Inferential statistics
  • Model building and fine tuning
  • Supervised and unsupervised learning
  • Natural language processing
  • Ensemble learning

Who should learn

  • Software professionals
  • Data Enthusiasts
  • Engineering students

What you will learn

  • Introduction to Data Science

    • Introduction

      01:40
      • Introduction Datascience
        01:40
    • Lesson 01: Data Science In 5 Minutes

      04:26
      • Data Science In 5 Minutes
        04:26
    • Lesson 02: What is Data Science?

      42:48
      • What is Data Science
        42:48
    • Lesson 03: Top 5 Python Libraries

      15:39
      • Top 5 Python Libraries
        15:39
    • Lesson 04: Linear Regression Analysis

      28:21
      • Linear Regression Analysis
        28:21
    • Lesson 05: Logistic Regression

      30:35
      • Logistic Regression
        30:35
    • Lesson 06: Confusion Matrix

      20:01
      • Confusion Matrix
        20:01
    • Lesson 07: Decision Tree in Machine Learning

      24:47
      • Decision Tree in Machine Learning
        24:47
    • Lesson 08: Random Forest

      30:06
      • Random Forest
        30:06
    • Lesson 09: Support Vector Machine

      23:48
      • Support Vector Machine
        23:48
    • Lesson 10: K Means Clustering

      48:49
      • K Means Clustering
        48:49
    • Lesson 11: Dimensionality Reduction

      30:06
      • Dimensionality Reduction
        30:06
    • Lesson 12: How To Become A Data Scientist In 2021

      14:44
      • How To Become A Data Scientist In 2021
        14:44
    • Lesson 13: Data Science Jobs Skills Salary

      25:31
      • Data Science Jobs Skills Salary
        25:31
    • Lesson_14: Data Science Engineer Resume

      04:39
      • Data Science Engineer Resume
        04:39
    • Lesson 15: Data Science Interview Questions

      46:43
      • Data Science Interview Questions
        46:43

Get a Completion Certificate

Share your certificate with prospective employers and your professional network on LinkedIn.

Data Science Free Course for Beginners

Why you should learn

27.9% by 2026

Rise in new jobs requiring data science skills


 

$121,921 

Average annual salary for a data science professional

Course Overview

Learn Data Science & Power Your Career With Data Science Free Course For Beginners Simplilearn offers Introduction to Data Science – a free data science course where you can learn data science fundamentals, Python libraries and data analytics tools and techniques. Data Scientists are one of the most sought-after and highly paid professionals due to their ability to interpret big data and draw insights from it. If you want to enter the data domain, learn data science for free in the Data Science for Beginners Course. What You’ll Learn in This Free Data Science Course Online Take your Tech Skills to the next level with our Data Science Certification Online. The data science course...

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FAQs

  • What are the prerequisites to learn Data Science?

    To learn Data Science you must have a basic understanding of programming concepts and mathematics.

  • How do beginners learn Data Science?

    Beginners who want to learn Data Science can start with the basics by joining this free Data Science course. Once you have mastered the basics you can move on to advanced topics.

  • How long does it take to complete the Introduction to Data Science course?

    This Introduction to Data Science course consists of 7 hours of video content that will help you understand the concepts thoroughly.

  • What should I learn first in a free Data Science course?

    It is recommended that you always start with the Data Science basics first. For a better understanding, watch the learning videos in sequence without skipping any.

  • Why learn Data Science?

    Data Science is the hottest technology of the digital age. Businesses are going through a digital transformation like never before. It is now believed that traditional skills are soon going to be replaced with digital skills. Data science is one such evolving field where professionals with specialized skills are finding excellent career opportunities. The demand for roles like data scientists, data analysts, and data engineers has increased considerably, making data science a popular career. Therefore, now is the time to learn data science.

  • Is the Data Science beginners course easy to learn?

    The videos that you find as a part of this Introduction to Data Science course are created by mentors who are industry leaders with vast experience in the field. They are aware of the needs of different learners and have designed the free course to be easy to learn.

  • Can I complete this free Data Science course in 90 days?

    Yes, you can complete this free Data Science course within 90 days.

  • Will I get a certificate after completing the free Data Science course?

    Yes, You will receive a Course Completion Certificate from SkillUp upon completing the free Data Science program. You can unlock it by logging in to your SkillUp account. As soon as the certificate is unlocked, you will receive a mail with a link to your SkillUp learning dashboard on your registered mail address. Click the link to view and download your certificate. You can even add the certificate to your resume and share it on social media platforms.

  • What are my next best learning options after completing this free Data Science course?

    After completing this free Data Science course, you can opt for the PG in Data Science provided by Simplilearn

  • What is a Data Science free course all about?

    The free Data Science course will help you understand the basics and how to become a Data Scientist in 2021. You will learn the top Python libraries for Data Science, some of the essential Data Science algorithms, and the top Data Science jobs, skills, and salary trends. 

  • What are the basics in Data Science?

    The Data Science basics are:

    • Exploratory data analysis
    • Descriptive statistics
    • Inferential statistics
    • Model building and fine-tuning
    • Supervised and unsupervised learning
    • Natural language processing
    • Ensemble learning
  • What is Data Science used for?

    Data Science is used to derive meaningful information from large volumes of data to predict future trends and patterns.

  • Why is Data Science so popular?

    Data Science is hailed as the hottest technology of the 21st century. The primary reason for its popularity is that it enables data-driven decision making in real-world scenarios.

  • What are essential steps to learn Data Science?

    As a beginner you can enrol on introductory courses like these and once you have mastered it move on to the next level of courses. Participate in data science workshops and enhance your skills by trying various projects for beginners.

  • What are the top skills for a career in Data Science?

    You need two types of skills (technical and non-technical) to become a Data Scientist:

    • Statistical analysis and computing
    • Data Mining
    • Processing large data sets
    • Mathematics
    • Programming
    • Statistics

    Non-technical skills include a good business acumen, communication and data intuition.

  • What are the career opportunities in Data Science?

    The career opportunities in Data Science are:

    • Data Scientists
    • Data Analysts
    • Machine Learning Engineers
    • Data Architects
       
  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.