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

Course Material : https://mega.nz/file/qFBRFKBZ#W87Gbn0uUDknVvkkwjCTVHLFOqNz9ab9hhHjeTE6O7g

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DATA TYPES AND STRUCTURES
0:00:00 Welcome to the course
0:03:38 Hallie Fascinating data insights
0:06:38 Data Collection in our world
0:10:29 Determining what data to collect
0:14:16 Discover data formats
0:19:22 Understanding structured data
0:21:14 Know the type of data you're working with
0:25:28 Data table components
0:27:50 Meet wide and long data

BAIS,CREADIBILITY,PRIVACY,ETHICS,AND ACCESS
0:31:23 Ensuring data integrity
0:32:52 Bias from questions to conclusions
0:35:56 Baised and unbiased data
0:38:12 Understanding bais in data
0:42:03 Identifying good data sources
0:44:54 what is bad data
0:47:48 Optional Refresher Get ready for Qwiklabs
0:51:57 Introduction to data ethics
0:56:44 Optional Refresher Alex The importance of data ethics
0:59:45 Introduction to data privacy
1:01:39 Andrew The ethical use of data
1:04:28 Feature of open data
1:08:21 Andrew Steps for ethical data use

DATABASES: WHERE DATA LIVES
1:11:33 All about databases
1:13:58 DAtabase features
1:18:04 Exploring metadata
1:21:54 Using metadata as an analyst
1:25:40 Metadata management
1:29:06 Megan Fun with metadata
1:31:53 Working with more data sources
1:35:05 Importing data from spreadsheets and databases
1:38:56 Sorting and filtering
1:44:31 BigQuery in action

ORGANIZING AND PROTECTING YOUR DATA
1:51:29 Feel confident in youR data
1:52:23 Let's get organized
1:57:00 All about file naming
1:59:33 Security feature in spreadsheets
2:02:51 Managing your presence as a data analyst
2:03:55 Why an online presence is important
2:07:11 Tips for enhancing your online presence
2:10:44 Networking know-how
2:13:03 Benefits of mentorship
2:17:01 Rachel Mentors are key
2:19:56 Congrats! Course wrap-up


This is the third course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. As you continue to build on your understanding of the topics from the first two courses, you’ll also be introduced to new topics that will help you gain practical data analytics skills. You’ll learn how to use tools like spreadsheets and SQL to extract and make use of the right data for your objectives and how to organize and protect your data. 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:
- Find out how analysts decide which data to collect for analysis.
- Learn about structured and unstructured data, data types, and data formats.
- Discover how to identify different types of bias in data to help ensure data credibility.
- Explore how analysts use spreadsheets and SQL with databases and data sets.
- Examine open data and the relationship between and importance of data ethics and data privacy.
- Gain an understanding of how to access databases and extract, filter, and sort the data they contain.
- Learn the best practices for organizing data and keeping it secure.


⌨️ 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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