Data Science Tutorials

MUST READ ARTICLES FOR DATA SCIENCE ENTHUSIAST.

1. Every Intro to Data Science Course on the Internet, Ranked. (https://lnkd.in/fQDMiNX)

2. What would be useful for aspiring data scientists to know? (https://lnkd.in/fmcFyN7)

3. 8 Essential Tips for People starting a Career in Data Science. (https://lnkd.in/f5vUg6i)

4. Cheat sheet: How to become a data scientist. (https://lnkd.in/fMEhi4D)

5. The Art of Learning Data Science. (https://lnkd.in/fruY2AC)

6. The Periodic Table of Data Science. (https://lnkd.in/fxReDab)

7. Aspiring Data Scientists! Start to learn Statistics with these 6 books! (https://lnkd.in/fXSE-us)

8. 8 Skills You Need to Be a Data Scientist (https://lnkd.in/f8S3Ygd)

9. Top 10 Essential Books for the Data Enthusiast (https://lnkd.in/fKugicE)

10. Aspiring data scientist? Master these fundamentals. (https://lnkd.in/fTGDkju)

11. How to Become a Data Scientist - On your own. (https://lnkd.in/f_Zhpzf)

Some good TUTORIALS on Data Science, Machine Learning and Deep Learning

1. Data Science Training Videos https://lnkd.in/fhEUuXM

2. Data Analysis in Python and Pandas https://lnkd.in/f6CAxe7

3. Machine Learning https://lnkd.in/fZYMSNa

4. Machine Learning with Python https://lnkd.in/fv_TjKA

5. Deep Learning Basics https://lnkd.in/fpptKs4

6. Deep Learning tutorial https://lnkd.in/fZfj3UA

7. Deep Learning with TensorFlow https://lnkd.in/f9t35fx

Clear explanation of DEEP LEARNING by MIT. Must Watch

1. Introduction to Deep Learning https://lnkd.in/fJ2-WJm

2. Deep Sequence Modelling https://lnkd.in/fw6CVus

3. Deep Learning for Computer Vision https://lnkd.in/fqWUtqd

4. Deep Generative Models https://lnkd.in/f2_66T2

5. Deep Reinforcement Learning https://lnkd.in/fVxphZd

6. Limitations and New Frontiers https://lnkd.in/fKEmBjS

Github Link - https://lnkd.in/fwsKKp4

GRETL - Great Statistical software for Beginners. Here is the Gretl Tutorial by Simone Gasperin

1. Simple Linear Regression https://lnkd.in/ecfsV9c

2. Coding Dummy Variables https://lnkd.in/ef7Yd7f

3. Forecasting New Observations https://lnkd.in/eNKbxbU

4. Forecasting a Large Number of Observations https://lnkd.in/eHmibGs

5. Logistic Regression https://lnkd.in/eRfhQ87

6. Forecasting and Confusion Matrix https://lnkd.in/eaqrFJr

7. Modeling and Forecasting Time Series Data https://lnkd.in/e6fqKpF

8. Comparing Time Series Trend Models https://lnkd.in/eKjEUAE

Useful links for Data Visualization -

1. Quick and Easy Data Visualizations in Python with Code. (https://lnkd.in/fXJ-_Y8)

2. 10 Useful Python Data Visualization Libraries for Any Discipline. (https://lnkd.in/fBxbHwr)

3. Top 50 matplotlib Visualizations – The Master Plots (with full python code). (https://lnkd.in/fGrnGax)

4. Data Visualization Effectiveness Profile. (https://lnkd.in/f3v52Fd)

5. The Visual Perception of Variation in Data Displays. (https://lnkd.in/fm-TbPM)

6. Matplotlib Tutorial – A Complete Guide to Python Plot w/ Examples. (https://lnkd.in/fFkUgQP)

7. Interactive Data Visualization in Python With Bokeh. (https://lnkd.in/fEfQAvg)

DATA SCIENCE PROJECTS (a simple to start the datascience journey )

1. Twitter sentiment analysis using python(https://www.geeksforgeeks.org/twitter-sentiment-analysis-using-python/)

2. Spam detection using python (https://towardsdatascience.com/spam-classifier-in-python-from-scratch-27a98ddd8e73)