Data Science Free Courses with Free Certificates, Free Data Science Courses, AlmaBetter Data Science Program

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Data Science Free Courses with Free Certificates, Free Data Science Courses, AlmaBetter Data Science Program. data science free course google, python for data science free course with certificate, data science free course udemy, ibm data science certification free.

Data Science is an inter disciplinary fields combining Statistics, Programming, Machine Learning and Business Knowledge. Data Scientist & Data Analyst has been ranked the number one job on Glassdoor.  These courses offer a solid foundation in various aspects of data science, from programming and statistical analysis to the theoretical underpinnings of algorithms. Dive into these free resources to kickstart or enhance your data science career! 

  • Introduction to Databases with SQL – Harvard

    • If you’re looking to understand the backbone of data storage and manipulation, Introduction to Databases with SQL from Harvard is a fantastic starting point. This course provides a comprehensive overview of SQL, the standard language for database management, and teaches you how to manage, manipulate, and query databases effectively.
    • Harvard Free Course Link: CS50’s Introduction to Databases with SQL (
  • Introduction to Data Science with Python – Harvard

    • For those eager to dive into data science using Python, Harvard’s Introduction to Data Science with Python is perfect. Python is one of the most popular programming languages for data science and machine learning. This course covers the essentials of Python programming, data analysis, visualization, and machine learning techniques.
    • Harvard Free Course Link: Introduction to Data Science with Python | Harvard University
  • Statistical Learning with R – Stanford

    • Stanford’s Statistical Learning with R offers a comprehensive introduction to the key concepts and techniques used in data science and machine learning. Utilizing R, a programming language designed for statistical computing and graphics, this course covers various statistical methods and their applications.
    • Stanford Free Course Link: Statistical Learning | Stanford Online
  • Topics in Mathematics of Data Science – MIT

    • MIT’s Topics in Mathematics of Data Science delves into the mathematical foundations of data science. This course is perfect for those with a keen interest in the theoretical aspects of algorithms used to extract information from data. It covers various topics, including linear algebra, probability, and statistics, tailored for data science research.
    • MIT Free Course Link: Topics in Mathematics of Data Science | Mathematics | MIT OpenCourseWare
  • Introduction to Data Analytics – IBM

    • Available on Coursera, IBM’s Introduction to Data Analytics provides a practical introduction to data analytics. This course covers the entire data analysis process, from data cleaning and preparation to visualization and interpretation, offering a hands-on approach to learning.
    • MIT Free Course Link: Introduction to Data Analytics Course by IBM | Coursera

Cisco Free Introduction to Data Science Course: Quintillion bytes of data are created EVERY day! Explore how data is transforming the world and opening up exciting new jobs. 

What you will learn from this course: This introductory course takes you inside the world of data science. You will learn the basics of data science, data analytics, and data engineering to understand how machine learning is shaping the future of business, healthcare, education, and more. Data science professionals who can provide actionable insights for data-driven decisions are in high demand all over the world.

  • Module 1: Experience Analytics.
  • Module 2: Data Collection and Storage
  • Module 3: Artificial Intelligence and Machine Learning
  • Module 4: Embarking on Your Career in Data Analytics
  • Introduction to Data Science Final Exam

Introduction to Data Science for Complete Beginners:  Most Frequent Questions about Data Science are answered in this course

What you will learn from this course:

  • What is Data Science
  • Who is a Data Scientist
  • Type of Questions that a Data Science Can Answer
  • Supervised and Unsupervised Learning in Machine Learning with Real life Examples
  • Applications of Data Science in Real Life
  • What is Data Engineering
  • Who is a Data Engineer
  • What is Machine Learning
  • Who is a Machine Learning Engineer
  • Skills Needed to become a Data scientist
  • How to Practice Data Science and Build your portfolio
  • Certifications in Data Science
  • Some Great Books in Data Science

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Basics of Seaborn for Data Analysis & Data Science:  Learn basics of seaborn , frequent used seaborn plots , styling in seaborn with the help of real-world use-cases

What you will learn from this course:

  • Learn about Essentials of seaborn to create plots like Bar Charts, Line Charts, Scatter Plots, Histogram ,distribution plots , and more!
  • How to update Layouts with seaborn
  • Learn styling in seaborn
  • Learn basic functionality when to use seaborn

Basics of Numpy for Data Analysis & Data Science:  Learn fundamentals of Numpy , frequent used Numpy statistical functions with the help of real-world use-cases

What you will learn from this course:

  • Master the essentials of NumPy , one of the Python's most powerful data analysis packages
  • Understand and code using the Numpy Python
  • Learn to modify and reshape matrices to your advantage.
  • Learn basic functionality like calculating means, and finding max/min values.

Essential Statistics for Data Science: Statistics for Beginners. A strong statistics foundation is mandatory for  data science professionals, as statistics is basis for any data analysis.

What you will learn from this course:

  • Understand Statistics Basics
  • Statistics - Data Types and Application
  • Harnessing Data - Sampling Techniques
  • Exploratory Data Analysis

Machine Learning & Artificial Intelligence with Python:  Learn Complete Machine learning Python Artificial Intelligence Data Science Data Analysis and Deep Learning using Python

What you will learn from this course:

  • Use Python for Data Science and Machine Learning
  • Learn basic machine learning
  • Understand the uses of Machine Learning
  • Apply Machine learning in real world

Basics of Pandas for Data Analysis & Data Science:  Learn Basics of Pandas for Data Analysis , Data Manipulation , Data Visualisation & Data Science

What you will learn from this course:

  • Learn about Essentials of Pandas to manipulate , clean & visualise data
  • Learn Frequent used methods and attributes across numerous pandas objects
  • Learn to use Pandas for Data Analysis
  • Learn how to code in Jupyter Notebook

How to avail this offer?