Data Science Learning Path | Topics & Resources | Beginner To Advance Level

In this video, a roadmap to Data Science is given with the learning resources. All links of the learning material are given below. (Source of Video Content: https://www.kdnuggets.com/2021/02/data-science-learning-roadmap-2021.html ) ----------------------------- Get - Python Data Analytics Course Notes and Projects Source Codes ( Rs.450 ) - https://rzp.io/l/dslstudymaterial ----------------------------- Buy our "Self Study Material", which includes all the Projects Source Codes and Notes of the complete Data Analytics course, which contain all commands of Core Python, Numpy, Pandas, Matplotlib, SQL that we use for Big-Data Analytics ( cost @ Rs.450 or $6 or €6 ) ----------------------------- Contact Mail Id : datasciencelovers@gmail.com ----------------------------- Complete Course - 'Data Analysis with Python' - https://www.youtube.com/watch?v=77jgzVGlSyA&list=PLy3lFw0OTluuf6PhQRxpF-MW4GlEhxroh ----------------------------- Learning Resources ***************** 1. Programming ***************** Resources to learn Python A. Python Course by Data Science Lovers on YouTube [free]  - https://www.youtube.com/playlist?list=PLy3lFw0OTluu71ngpsziUNao8c5i1mBCK B. learnpython.org [free]— https://www.learnpython.org C. Kaggle [free]— https://www.kaggle.com/learn/python D. Python Certifications on freeCodeCamp [free] – https://www.freecodecamp.org/learn/scientific-computing-with-python/python-for-everybody Resources to learn SQL A. Course on SQL and Databases by the freeCodeCamp - https://www.freecodecamp.org/news/sql-and-databases-full-course B. Intro to SQL - https://www.kaggle.com/learn/intro-to-sql C. Advanced SQL - https://www.kaggle.com/learn/advanced-sql Resources to learn Git and GitHub A. Guide for Git [free] - https://www.atlassian.com/git B. Guide for GitHub [free] - https://lab.github.com C. Git and GitHub crash course by the freeCodeCamp - https://www.freecodecamp.org/news/git-and-github-crash-course ****************************** 2. Data Collection & Cleaning ****************************** Resources to learn Data Collection & Cleaning A. freeCodeCamp course on learning Numpy, Pandas, matplotlib, and seaborn [free] - https://www.youtube.com/watch?v=r-uOLxNrNk8 B. HackerEarth - https://www.hackerearth.com/practice/machine-learning/data-manipulation-visualisation-r-python/tutorial-data-manipulation-numpy-pandas-python/tutorial C. Kaggle Pandas Tutorial [free]  - https://www.kaggle.com/learn/pandas D. Data Cleaning course by Kaggle - https://www.kaggle.com/learn/data-cleaning Data Collection Project Ideas A. Publicly Available Datasets - https://towardsdatascience.com/data-repositories-for-almost-every-type-of-data-science-project-7aa2f98128b ******************************************* 3. Exploratory Data Analysis & Storytelling ******************************************* Resources to learn more about Data Analysis A. Data Analysis with Python - https://www.youtube.com/playlist?list=PLy3lFw0OTluuf6PhQRxpF-MW4GlEhxroh B. Data Analysis with Python — IBM on Coursera - https://www.coursera.org/learn/data-analysis-with-python C. Data Visualization — Kaggle - https://www.kaggle.com/learn/data-visualization Data Analysis Project Ideas - https://www.youtube.com/playlist?list=PLy3lFw0OTlutzXFVwttrtaRGEEyLEdnpy ******************** 4. Data Engineering ******************** Resources to learn Data Engineering A. Data Engineering Nanodegree by Udacity — https://www.udacity.com/course/data-engineer-nanodegree--nd027 B. Data Engineering, Big Data, and Machine Learning on GCP Specialization — https://www.coursera.org/specializations/gcp-data-machine-learning ************************************* 5. Applied Statistics & Mathematics ************************************* Resources to learn Applied Statistics and Math A. Statistics Course by 'Data Science Lovers on YouTube [free]  B. Learn college-level statistics - https://www.freecodecamp.org/news/free-statistics-course C. [Book] Practical Statistics for Data Science - https://www.amazon.com/Practical-Statistics-Data-Scientists-Essential/dp/149207294X/ref=sr_1_1?crid=QOOZP96ISCU4&dchild=1&keywords=practical+statistics+for+data+scientists&qid=1610247485&s=books&sprefix=practical+stat%2Cstripbooks%2C362&sr=1-1 ************************** 6. Machine Learning & AI ************************** Resources to learn Machine Learning A. Machine Learning Course by Data Science Lovers on YouTube [free] —  https://www.youtube.com/playlist?list=PLy3lFw0OTlusfHu8J6iQJ2ngy-XT4yL1U B. [book] Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition —  https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=sr_1_1?dchild=1&keywords=Hands-On+Machine+Learning+with+Scikit-Learn%2C+Keras%2C+and+TensorFlow%2C+2nd+Edition&qid=1610253356&sr=8-1 C. Introduction to Machine Learning — Kaggle - https://www.kaggle.com/learn/intro-to-machine-learning #datascience #python #bigdata