Progress toward my learning goals

2018

My study plan for 2018 is to work toward building a solid foundation in topics associated with Data Science by following P1xt's Data Science guide.

Progress

Current Course: Introduction to Computer Science and Programming Using Python
Current Book: Precalculus
Courses Completed: 0
Total Points earned: 0

Date Finished	Activity	Points	Links
In progress	Book	200	Precalculus
In progress	Course	500	Introduction to Computer Science and Programming Using Python

Data Science Intensive

• Introduction to Computer Science and Programming Using Python
• Data Science Path on Cognitive Class
• MongoDB for Developers
• Introduction to Biology - The Secret of Life
• Calculus One
• Introduction to Probability and Statistics
• Deep Learning Path on Cognitive Class
• Introduction to Computational Thinking and Data Science
• Data Science
• Programming for the Web with JavaScript
• Introduction to Solid State Chemistry
• Calculus Two: Sequences and Series
• Intro to Machine Learning
• Linear Algebra
• Proteins: Biology's Workforce
• Mathematics for Computer Science
• Python for Data Science
• Data Visualization and D3.js
• Statistics and Probability in Data Science using Python
• Proteins: Biology's Workforce
• Machine Learning
• Database Mini-Courses
• Deep Learning
• Algorithms, Part I
• Algorithms, Part II
• Analysis of Algorithms
• Mathematical Biostatistics Boot Camp 1
• Mathematical Biostatistics Boot Camp 2
• Big Data Path on Cognitive Class
• Convex Optimization
• Probability: Basic Concepts & Discrete Random Variables
• Hadoop Path on Cognitive Class
• Probability: Basic Concepts & Discrete Random Variables
• Introduction to Mechanics, Part 1
• Electricity & Magnetism, Part 2
• Statistics for Applications
• Intro to Hadoop and MapReduce
• Differential Equations
• Statistics and R for the Life Sciences
• Introduction to Linear Models and Matrix Algebra
• Statistical Inference and Modeling for High-throughput Experiments
• High-Dimensional Data Analysis
• Introduction to Bioconductor: Annotation and Analysis of Genomes and Genomic Assays
• High-performance Computing for Reproducible Genomics
• Case Studies in Functional Genomics
• Quantum Mechanics for Everyone
• Artificial Intelligence (AI)
• Machine Learning
• Robotics
• Animation and CGI Motion

Book Suggestions

Data Science

• Precalculus
• Think Python
• Think Stats
• An Introduction to Statistical Learning
• Biology
• Think Bayes
• Think DSP
• Think Complexity
• The Art of R Programming
• R for Data Science
• Machine Learning with R
• The Quest for Artificial Intelligence
• Multiagent Systems
• Bayesian Methods for Hackers
• Bayesian Methods in the Search for MH370
• Mining of Massive Datasets
• Informatics in the Future
• Bisociative Knowledge Discovery
• New Horizons for a Data-Driven Economy
• The Challenge of Chance

Additional books can be found here

Bonus List

Activity	Points for completing	Activity type
Basic Project	100	project
Substantial Project	200	project
Large Project	300	project
Gigantic Project	400	project
Duolingo or MosaLingua (1 level)	100	foundation
Book	200	foundation
Tutorial site (Udemy/Pluralsight/Egghead/Treehouse/etc) course	100	foundation
University level course (Coursera/edX/MITOCW/etc)	500	foundation
Physical Activity (30 minutes)	10	foundation
Musical Instrument Practice (30 minutes)	10	foundation
Khan Academy (30 minutes)	10	foundation
Analytics Vidhya Competition	50	data-science
Crowd Analytix Competition	50	data-science
Kaggle Competition	50	data-science
Driven Data Competition	50	data-science
Blog Post on any topic	15	communication
Blog Post Tutorial	40	communication
Video Tutorial	50	communication
Open Source PR	50	communication
Module to npm	200	communication
Team Up for a project	100	communication
Diary entry	5	communication
CodeWars (10 problems)	50	algorithms
CodinGame (1 Tier)	100	algorithms
CodinGame (1 Bot Competition)	20	algorithms
HackerRank (10 problems)	50	algorithms
Google Code Jam (1 round from past contest)	100	algorithms

Source.