Are you ready to embark on a journey into the dynamic world of Data Science? Dive into the realm of data analytics, machine learning, and more with these top 6 free Data Science courses carefully curated for 2024.
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Table of Contents
What is Data Science?
Data science is a field that deals with extracting knowledge and insights from data. It’s an interdisciplinary field that uses scientific methods, statistics, programming, and domain knowledge to analyze and interpret data. Data scientists are like detectives who uncover hidden patterns and trends within large datasets.
Here’s a breakdown of what data science involves:
Data Collection: Data scientists gather information from various sources, including databases, sensors, surveys, and social media.
Data Cleaning & Preparation: Raw data often contains errors and inconsistencies. Data scientists clean and organize the data to ensure its accuracy and usability.
Data Analysis: Using statistical methods, programming languages, and specialized tools, data scientists analyze the data to identify patterns, trends, and relationships.
Data Visualization: Data scientists create charts, graphs, and other visual representations to communicate their findings effectively.
Storytelling: Data scientists don’t just present findings; they explain what the data means and its implications for the specific field or problem they’re studying.
Here Are the Top 7 Free Data Science Courses
1. Understanding Data Science
If you’re new to the data science world, the first thing you want to get your head around is the basics. With no coding involved, this free course will define what data science is.
You will dive deeper into what a data science workflow is and how data science is applied to real-world problems. Once you have a good understanding of the field, you will end off will learning about different roles within the data science field.
Course Link Click Here
2. Introduction to Programming with Python
Have you decided to choose Python as your programming language choice? Great idea.
It’s been a popular programming language for a while now and now you can learn it with this self-paced course which will take you roughly 10 weeks to complete. This course has been specifically designed for students who have no prior experience or knowledge when it comes to programming and wish to transition into the data science world by learning Python.
The following topics are covered: functions, variables, conditionals, loops, exceptions, libraries, unit tests, file I/O, regular expressions, object-oriented programming, and more.
Course Link Click Here
3. Python Data Science Toolbox
As it’s been the most popular programming language for a few years now, there is no harm in perfecting the Python programming language.
With no coding experience or skill needed, Part 1 of the Python Data Science toolbox course teaches you how to effectively analyze and visualise your data. With 13 videos included in this course, you will go from data manipulation to plotting data with Matplotlib.Â
Course Link Click Here
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4. Data Science: R Basics
Maybe you haven’t gone for Python and maybe you have decided to choose R as your programming language. Regardless of what you decide to go ahead with – it is always good to start with the basics. Harvard University offers a Data Science: R Basics course that helps you to build a solid foundation in the R programming language – from learning how to wrangle, analyze, and visualize data.
The course is free; however, you can pay for a verified certificate for $149.
Course Link Click Here
5. Statistical Learning
I say it all the time and I will say it again – it is very important to learn about statistics in data science. This Statistical Learning course by edX will provide you with the main tools used in statistical modelling and data science.
It covers the following topics: an overview of statistical learning, linear regression, classification, resampling methods, linear model selection and regularization, moving beyond linearity, tree-based methods, support vector machines, deep learning, survival modelling, unsupervised learning, and multiple testing.
Course Link Click Here
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6. Data Analytics
You have probably heard about this course a lot – it is very popular. It consists of 8 sections, where you will learn about the day-to-day use of data, best practices and processes that you should expect in your new data science/analytics jobs.
You will learn how to clean and organize data for the analysis process and make calculations using spreadsheets, SQL and R programming. It doesn’t stop there, you will further your analytical skills by creating data visualizations and also learning about tools such as Tableau.
Course Link Click Here
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FAQ
What are these free data science courses about?
These courses cover various aspects of data science, from foundational concepts like data wrangling and visualization to more advanced topics like machine learning and deep learning.
