Advanced Data Analytics,Google | Data Analytics

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

⭐⭐⭐⭐🕑TIME STAMP📋⭐⭐⭐⭐⭐
👉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

👉THE POWER OF STATISTICS
9:34:28 Get Started with the Course
9:55:45 Descriptive Statistics
10:16:23 Calculate Statistics with Python
10:28:44 Review introduction to statistics
10:29:52 Basic concepts of probability
10:48:08 Conditional probability
11:05:35 Discrete probability distributions
11:24:22 Continuous probability distributions
11:38:23 Probability distributions with python
11:48:39 Review Probability
11:51:07 Introduction to Sampling
12:16:04 Sampling distributions
12:36:10 Work with sampling distributions in python
12:46:48 Review Sampling
12:49:15 Introduction to confidence intervals
13:06:47 Construct confidence intervals
13:28:24 Review confidence intervals
13:30:55 Hypothesis Testing
13:47:26 One sample tests
13:56:51 Two sample tests
14:13:54 Hypothesis testing with python
14:24:01 Review introduction to hypothesis testing
14:26:02 Apply your skills to a workplace scenario
14:32:15 End of Course portfolio project wrap up

👉REGRESSION ANALYSIS SIMPLIFY COMPLEX DATA RELATIONSHIPS
14:37:17 Get Started with the Course
14:50:07 Linear Regression
15:04:47 Logistic Regression
15:12:04 Review introduction to complex data relationships
15:15:05 Foundations of linear regression
15:41:24 Evaluate a linear regression model
15:51:26 Interpret linear regression results
15:57:56 Review simple linear regression
16:08:24 Model assumptions revisited
16:19:38 Model interpretation
16:43:45 Review multiple linear regression
16:56:26 Analysis of variance
17:25:57 Review Advanced hypothesis testing
17:27:59 Foundations of logistic regression
17:41:15 Interpret logistic regression results
18:00:59 Review logistic regression
18:03:06 Apply your skills to a workplace scenario

👉THE NUTS AND BOLTS OF MACHINE LEARNING
18:14:53 Get Started with the Course
18:29:15 Categorical versus continuous data types and models
18:36:25 Machine Learning in Everyday life
18:43:12 Ethics in Machine Learning
18:50:57 Utilize the python toolbelt for machine learning
19:01:27 Machine learning resources for data professionals
19:09:26 Review the different types of machine learning
19:38:37 Pace in Machine learning the construct and execute stages
19:56:13 Review Workflow for building complex models
19:57:33 Explore unsupervised learning and K-means
20:11:50 Evaluate a K-means model
20:28:50 Review unsupervised learning Techniques
20:29:57 Additional supervised learning techniques

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[centori]

This is so awesome, exactly what I was looking for. I'm finally finding my way, I feel right at home with like minded people. What would we do without computers, the means to realise our dreams. The instructor Cassie is one of the most inspiring people I've ever heard.

[cruise]

Sir, I'm from bangladesh...Believe me I can't explain by typing how you help

Keep up the work....And sir please publish a course of Competitive programming...Everybody need this course

[deepak_sharma_z]

I'm gonna binge watch this ... 22 hours straight...
Its 12:18 am here...

[mortyrickerson]

This is fantastic! May the force be with you all! Live long and prosper

[sagarlamichhane]

after a long bro .
thank you so much.
Hope you will upload the course materials and data samples for practising soon.

[Prince]

I love what you are doing sire.. keep it up.

[R-Talks]

Sir Please Upload Python Complete Course With Material Like this Video

[emmanuelomoro]

where can i get the data set for the pay strategy document for the project?

[shujanaqvi]

It looks interesting but is it for the beginners?

[ApteraEV]

My New-est Favorite Channel! Thank you 🎉❤

[MrDubzein]

Add MLOps and Data Engineering as well Make my only gift for christmas 😢

[goyoperez]

👍🏻😊 good morning. What would be the order to watch the videos to start learning? Thank you

[parmoksha]

just unrelated question
why location of this youtube channel is pakistan?

[bhuvanhara]

Excel for business specialization?? Pls

[souviksaha]

please upload a tutorial video of node js express mongo db and mongoose please.

[shoh]

Dears, great job, once again. I appreciate your efforts towards making knowledge free, easily accessible and of excellent quality.

However, I must say that it would be great if there were time stamp for this video. What's more, I am afraid this particular video might be a little bit messed up in its chronological order and cut some proper places. I hope I am wrong. That would be great if you could check on that.

Once again I love your channel and probably millions do as well 🎉❤😊

[TommyFink-yc]

Jones Barbara Smith Ruth Thompson Anthony

[fahdshaykh]

your teaching and voice look like actress.