The List of Top 10 lists

A guide to help you find your way through the Data Science maze. According to KDnuggets, the journey of a Data Scientist is full of twists and turns that will mold you.

According to KDnuggets, the journey of a Data Scientist is full of twists and turns that will mold you. However, it is not these twists and turns that molds, rather how you handle the ones thrown at you. Many of these challenges can be prevented or minimized by having a foreknowledge of the right tool kits before kickstarting the journey or maneuvering your way in the journey of being a successful data scientist.

This article (originally published on KDnuggets by Mojeed Abisiga ) provides you with this key information needed so you can spend your time efficiently and** navigate a data science career path smartly**. Hence, a guide to help you find your way through the Data Science maze.

Top ✔️ 10 Websites for Data Science

• Analytics Vidhya
• Kaggle
• Coursera
• Udacity
• Datacamp
• EdX
• Udemy
• KDNuggets
• R-bloggers
• Khan Academy

Top ✔️ 10 Skills for Data Science

• Probability & Statistics
• Linear Algebra
• Python
• R
• SQL
• Tableau/Power BI
• AWS/Azure
• Spark
• Excel
• DevOps

resources dataset data-science guides-and-tutorials machine-learning data science

This post will help you in finding different websites where you can easily get free Datasets to practice and develop projects in Data Science and Machine Learning.

Learning is a new fun in the field of Machine Learning and Data Science. In this article, we’ll be discussing 15 machine learning and data science projects.

Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant

How and why to start Learning to be a data scientist in 2020! This Data Science Course will give you a Step by Step idea about the Data Science Career, Data science Hands-On Projects, roles & salary offered to a Data Scientist!

I have mentioned the step-by-step guide to learn Data Science. I have explained the depth of knowledge required to reach different levels of expertise in Data Science.