Google Advanced Data Analytics Professional Certificate [Part - 1]

Part[3]
Learn in-demand skills like statistical analysis, Python, regression models, and machine learning in less than 24 Hours.
What you'll learn:
Explore the roles of data professionals within an organization
💻 Create data visualizations and apply statistical methods to investigate data
💻 Build regression and machine learning models to analyze and interpret data
💻 Communicate insights from data analysis to stakeholders

⭐️ Course Contents ⭐️
👉FOUNDATION OF DATA SCIENCE
0:00:00 Welcome to the Course
0:11:28 Careers in Data Science
0:23:23 Program Plan and Expectations
0:26:44 Review Introduction to Data Science Concepts
0:28:36 Data Driven Careers
0:39:00 Use Data Analytics for Good
0:47:11 Trajectory of the Field
0:50:31 Review the impact of data Today
0:51:25 Data Career Skills
0:59:12 Work in the field
1:07:41 Data Professional Career Resources
1:19:20 Review your Career as a data professional
1:20:51 The Data project workflow
1:28:27 Elements of Communication
1:43:50 communicate like a data professional
1:47:06 Review data application and workflow
1:47:50 Begin Building a portfolio to impress
1:54:01 End of Course Portfolio project wrap up

👉GET STARTED WITH PYTHON
1:56:48 Get Started with the Course
2:10:54 The Power of Python
2:27:22 Use Python Syntax
2:42:22 Review hello python
2:43:55 Functions
3:06:45 Conditional Statements
3:23:28 While Loops
3:35:06 For Loops
3:43:15 Strings
3:58:49 Review Loops and strings
4:00:53 Lists and Tuples
4:21:57 Dictionaries and Sets
4:36:46 Arrays and Vectors with numpy
4:51:27 DataFrames with Pandas
5:26:57 Review data Structures in python
5:28:36 Apply your skills to a workplace scenario
5:36:23 Course review get started with python

👉GO BEYOND THE NUMBERS TRANSLATE DATA INTO INSIGHT
5:38:05 Get Started with the Course
6:00:06 Use Pace to Inform Eda and Data visualizations
6:12:06 Review find and share stories using data
6:15:00 Discovering is the beginning of an investigation
6:40:52 Understand data format
7:00:45 Create structure from raw data
7:22:10 Review explore raw data
7:25:32 The Challenge of missing or Duplicate data
7:52:43 The Ins and outs of data outliers
8:12:15 Change categorical data to numerical data
8:25:59 Input validation
8:41:41 Review clean your data
8:43:56 Present a story
8:58:41 Advanced tableau
9:25:18 Apply your skill to a workplace scenario
9:29:31 End of Course portfolio project wrap up

[AnniePilgrim]

okay I paid nearly 250 EUR for the beginner one and only thing I got at my current job as data operator is: yeah, good for u, keep it up; so.. thank u a lot for uploading this; worth noting since I am now on my second specialization, Google tend to add more info in their reading features along the course, as well as the video; I noticed I understand better the material this way; keep it up, education should be free!

[sudidevadiga]

Is this the same paid course offered by google?