Learning Python on Google Cloud
Python for aspiring Data Scientist and Rockstar Analysts
Ratings 4.43 / 5.00
What You Will Learn!
- Fundamentals of Python
- Python on Google Cloud
- Variables and String Methods using Python
- How to use Python Lists
- How to use Python Sets and Dictionaries
- Conditional Statements and Loops in Python
- Intro and usage of Python Modules
- How to use List Comprehension
- Function Creation in Python
- Introduction to Numpy
- Using Numpy Methods
- Introduction to Pandas
- Descriptive Stats in Pandas (describe method)
- Sorting your Pandas DataFrame
- Filtering your Pandas DataFrame
- Exporting Pandas Result to Google Drive
- Connecting to Postgres and Redshift Databases
- Querying Postgres and Redshift Databases
- Reading Data with Pandas (.csv and databases)
- Aggregation Using Pandas
- New Fields in Pandas
- Joins and Merging Data using Pandas
- Using Functions with Pandas (apply method)
- Charting with Pandas
- Foundations for being a Data Scientist
- Skills for being a next level Data Analyst
Description
What sets this course apart from all others is how quickly we dive into the material and the selective topics covered to get you comfortable with Python in less than a day! That's right, this course is basically a crash course designed for learners that want to get up and running with Python as quick as possible and begin applying their Python skills.
This course requires 0 installation of any kind. All you'll need is
your web browser and
a Gmail account,
In Lesson 01, we selectively cover
data and variable types,
methods,
conditional statements and
loops
In Lesson 02, we go over
modules (a.k.a. libraries)
string methods
list comprehension
custom functions
In Lesson 03, using the foundation above, we pick up on data analysis tools and techniques such as
Numpy
Pandas
Reading Files and Querying Databases
Pandas Methods for Stats and Aggregation
Other Pandas Built in Functions and Features, including charts / visualizations
From the core to the advanced tools that you want to have to get your skills and career to the next level!
Who Should Attend!
- Analysts
- Business Professionals
- Data Enthusiasts
- Beginning Python Developers
- Data Analysts
- Data Scientists
