Data Analytics Professional Certificate Complete Courses.
https://www.youtube.com/playlist?list=PLtS8Ubq2bIlVN4Zom0O-6rBysJs3wns60

Courser Material : https://mega.nz/file/mAgB3CJL#_P2qX9yqKwd_6WzvcmWt7zTk0kashEhAbKEw0RibFM8

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THE IMPORTANCE OF INTEGRITY
0:00:00 Welcome to the course
0:03:51 Why data integrity is important
0:06:42 Balancing objectives with data integrity
0:09:55 Dealing with insufficient data
0:13:43 The importance of sample size
0:17:08 Using statistical power
0:22:06 Determine the best sample size
0:27:00 Evaluate the reliability of your data

SPARKLING-CLEAN DATA
0:32:48 Clean it up!
0:35:38 Why data cleaning is important
0:41:20 Angie Why i love cleaning data
0:42:41 Defining dirty data
0:48:05 Data-cleaning tools and techniques
0:54:22 Cleaning data from multiple sources
1:00:07 Data-Cleaning features in spreadsheets
1:08:10 Optimize the data-cleaning process
1:22:16 Different data perspectives
1:32:35 Even more data-cleaning techniques

CLEANING DATA WITH SQL
1:39:28 Using SQL to clean data
1:40:13 Sally for the love SQL
1:43:32 Understanding SQL capabilities
1:46:52 Spreadsheets versus SQL
1:51:05 Widely used SQL queries
1:57:14 Evan having fun with SQL
1:59:52 Cleaning string variables using SQL
2:12:39 Advance data-cleaning functions, part1
2:19:00 Advance data-cleaning functions, part2

VERIFY AND REPORT ON YOUR CLEANING RESULTS
2:27:55 Verifying and reporting results
2:31:11 Cleaning and you data expectations
2:36:12 The final step in data cleaning
2:44:28 Capturing cleaning changes
2:50:25 Why documentation is important
2:53:49 Feedback and cleaning

OPTIONAL: ADDING DATA TO YOUR RESUME
2:56:02 About the data-analyst hiring process
2:57:21 The data analyst job-application process
3:04:19 Creating a resume
3:13:25 Making your resume unique
3:16:50 Joseph Black and African Americal Inclusion in the data industry
3:18:49 Translating past work experience
3:23:41 Kate My Career path as a data analyst
3:27:30 Where does your interest lie

COURSE CHALLENGE
3:31:21 GEt ready for the course challenge
3:31:44 Congratulations!


This is the fourth course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. In this course, you’ll continue to build your understanding of data analytics and the concepts and tools that data analysts use in their work. You’ll learn how to check and clean your data using spreadsheets and SQL as well as how to verify and report your data cleaning results. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.

Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary.

By the end of this course, you will be able to do the following:
- Learn how to check for data integrity.
- Discover data cleaning techniques using spreadsheets.
- Develop basic SQL queries for use on databases.
- Apply basic SQL functions for cleaning and transforming data.
- Gain an understanding of how to verify the results of cleaning data.
- Explore the elements and importance of data cleaning reports.


⌨️ The creator of this course is Google ( Team: Grow with Google )
⌨️ For earning certificate https://www.coursera.org/professional-certificates/google-data-analytics?page=1

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