...
Full Bio
Use Machine Learning To Teach Robots to Navigate by CMU & Facebook Artificial Intelligence Research Team
227 days ago
Top 10 Artificial Intelligence & Data Science Master's Courses for 2020
228 days ago
Is Data Science Dead? Long Live Business Science
256 days ago
New Way to write code is about to Change: Join the Revolution
257 days ago
Google Go Language Future, Programming Language Programmer Will Get Best Paid Jobs
578 days ago
Top 10 Best Countries for Software Engineers to Work & High in-Demand Programming Languages
725196 views
Highest Paying Programming Language, Skills: Here Are The Top Earners
669393 views
Which Programming Languages in Demand & Earn The Highest Salaries?
474510 views
Top 5 Programming Languages Mostly Used By Facebook Programmers To Developed All Product
463593 views
World's Most Popular 5 Hardest Programming Language
395286 views
I Dropped Out of College to Create My Own Data Science Mastery - Here's My Curriculum
- Intro to Programming Nanodegree (Udacity) (REVIEW)
- CS50: Introduction to Computer Science (Harvard/edX) (REVIEW)
- Mathematics for Computer Science (MIT)
- Linear Algebra
- Calculus
- Multivariable Calculus
- Statistics I
- Statistics II
- Data Analyst Nanodegree (Udacity) (REVIEW)
- Intro to Inferential Statistics
- Intro to Descriptive Statistics
- Intro to Data Analysis (Using NumPy and Pandas)
- Data Wrangling
- SQL for Data Analysis
- MongoDB for Data Analysis
- Data Analysis with R
- Intro to Machine Learning
- Data Visualization and D3.js
- A/B Testing
- Machine Learning (Stanford University/Coursera)
- Creative Applications of Deep Learning with TensorFlow (Kadenze) (IN PROGRESS)
- Distributed Machine Learning with Apache Spark (University of California, Berkeley/edX)
- Software Testing (Udacity)
- Software Debugging (Udacity)
- �¢?? How to Use Git & GitHub: Version Control for Code (Udacity)
- Mastering Software Development in R Specialization (Johns Hopkins University/Coursera) (IN PROGRESS)
- The R Programming Environment
- Advanced R Programming
- Building R Packages
- Building Data Visualization Tools
- Intro to Backend (Udacity)
- Developing Scalable Apps in Python (Google/Udacity)
- Configuring Linux Web Servers (Udacity)
- Linux Command Line Basics (Udacity)
- Introduction to Databases (Stanford University)
- Intro to Hadoop and MapReduce (Cloudera/Udacity)
- Using Python to Access Web Data (University of Michigan/Coursera)
- Building a Data Science Team (Johns Hopkins University/Coursera)