MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 117 Lessons ( 9h 7m ) | Size: 814 MB
Build the Foundation for your Data Science career. Develop hands-on experience with Jupyter, Python, SQL. Perform Statistical Analysis on real data sets
What you'll learn
Working knowledge of Data Science Tools such as Jupyter Notebooks, R Studio, GitHub, Watson Studio
Python programming basics including data structures, logic, working with files, invoking APIs, and libraries such as Pandas and Numpy
Statistical Analysis techniques including Descriptive Statistics, Data Visualization, Probability Distribution, Hypothesis Testing and Regression
Relational Database fundamentals including SQL query language, Select statements, sorting & filtering, database functions, accessing multiple tables
Skills you'll gain
Probability And Statistics
Basic Descriptive Statistics
Statistical Hypothesis Testing
Data Visualization
Regression Analysis
Data Science
Data Analysis
Python Programming
Numpy
Pandas
Jupyter notebooks
Cloud Databases
Relational Database Management System (RDBMS)
SQL
Github
Rstudio