Google BigQuery & PostgreSQL : Big Query for Data Analysis

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Start-Tech Academy

11:27:05

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1. Welcome to the Course.mp4

03:13

2. Course Flow.mp4

06:41

4. This is a milestone!.mp4

03:31

5. PostgreSQL and PGAdmin Installation.mp4

09:30

7. Setting up BigQuery on Google Cloud Platform.mp4

08:15

8. BigQuery Interface.mp4

18:07

9. CREATE.mp4

11:46

10. CREATE in BigQuery.mp4

12:49

11. Exercise 1 Create DB and Table.mp4

01:25

12. INSERT.mp4

09:07

13. INSERT in BigQuery.mp4

06:23

14. Import data from File.mp4

04:59

15. Importing data from File using BigQuery Web User Interface.mp4

11:12

16. File Upload in Google Big Query through Google cloud sdk.mp4

11:07

17. Importing data from Google Drive.mp4

10:11

18. Exercise 2 Inserting and Importing.mp4

00:57

19. SELECT.mp4

03:45

20. SELECT in BigQuery.mp4

03:53

21. SELECT DISTINCT.mp4

06:05

22. SELECT DISTINCT in BigQuery.mp4

02:54

23. WHERE.mp4

04:02

24. WHERE in BigQuery.mp4

05:44

25. Logical Operators - AND, OR, NOT.mp4

06:10

26. Logical Operators in BigQuery.mp4

07:28

27. Exercise 3 SELECT & WHERE.mp4

01:16

28. UPDATE.mp4

05:25

29. UPDATE in BigQuery.mp4

03:04

30. DELETE.mp4

04:11

31. DELETE in BigQuery.mp4

03:13

32. ALTER.mp4

17:21

33. ALTER in BigQuery.mp4

03:19

34. Exercise 4 Updating Table.mp4

01:03

35. Restore and Back-up.mp4

07:38

36. Debugging Restoration.mp4

08:26

37. Creating DB using CSV files.mp4

05:40

38. Data Set creation in BigQuery.mp4

11:10

39. Exercise 5 Restore and Back-up.mp4

00:51

40. IN.mp4

04:24

41. IN in BigQuery.mp4

02:52

42. BETWEEN.mp4

05:41

43. BETWEEN in BigQuery.mp4

04:06

44. LIKE.mp4

08:52

45. LIKE in BigQuery.mp4

07:40

46. Exercise 6 In, Like & Between.mp4

00:51

47. ORDER BY.mp4

07:42

48. ORDER BY in BigQuery.mp4

04:41

49. LIMIT.mp4

03:38

50. LIMIT in BigQuery.mp4

05:49

51. Exercise 7 Sorting.mp4

00:47

52. AS.mp4

03:33

53. AS in BigQuery.mp4

02:25

54. COUNT.mp4

05:13

55. COUNT in BigQuery.mp4

04:47

56. SUM.mp4

03:24

57. SUM in BigQuery.mp4

01:58

58. AVERAGE.mp4

02:53

59. AVERAGE in BigQuery.mp4

03:09

60. MIN MAX.mp4

04:18

61. MIN MAX in BigQuery.mp4

02:53

62. Exercise 8 Aggregate functions.mp4

01:19

63. GROUP BY.mp4

11:52

64. GROUP BY in BigQuery.mp4

05:36

65. HAVING.mp4

05:04

66. HAVING in BigQuery.mp4

04:44

67. Exercise 9 Group By.mp4

01:13

68. CASE WHEN.mp4

05:18

69. CASE WHEN in BigQuery.mp4

06:12

70. Introduction to Joins.mp4

02:54

71. Concepts of Joining and Combining Data.mp4

11:58

72. Preparing the data.mp4

02:01

73. Creating Datasets for Joins in BigQuery.mp4

03:39

74. Inner Join.mp4

08:04

75. INNER JOIN in BigQuery.mp4

07:40

76. Left Join.mp4

07:30

77. LEFT JOIN in BigQuery.mp4

04:06

78. Right Join.mp4

06:27

79. RIGHT JOIN in BigQuery.mp4

05:02

80. Full Outer Join.mp4

04:59

81. FULL OUTER JOIN in BigQuery.mp4

05:06

82. Cross Join.mp4

04:21

83. CROSS JOIN in BigQuery.mp4

04:23

84. Intersect and Intersect ALL.mp4

07:06

85. Except.mp4

02:53

86. EXCEPT in BigQuery.mp4

04:45

87. Union.mp4

03:09

88. UNION in BigQuery.mp4

04:41

89. Exercise 10 Joins.mp4

01:18

90. Subqueries.mp4

14:35

91. Subqueries in BigQuery.mp4

05:51

92. Exercise 11 Subqueries.mp4

01:21

93. Views.mp4

07:21

94. Views in BigQuery.mp4

03:19

95. Index.mp4

06:25

96. Index in BigQuery.mp4

01:32

97. Exercise 12 Views.mp4

00:47

98. LENGTH.mp4

03:31

99. LENGTH in BigQuery.mp4

03:10

100. UPPER LOWER.mp4

02:10

101. Changing Case in BigQuery.mp4

02:05

102. REPLACE.mp4

04:13

103. REPLACE in BigQuery.mp4

03:10

104. TRIM, LTRIM, RTRIM.mp4

06:57

105. TRIM, LTRIM, RTRIM in BigQuery.mp4

05:16

106. CONCATENATION.mp4

02:56

107. CONCATENATION in BigQuery.mp4

05:26

108. SUBSTRING.mp4

06:01

109. SUBSTRING.mp4

05:41

110. LIST AGGREGATION.mp4

05:01

111. LIST AGGREGATION.mp4

05:08

112. Exercise 13 String Functions.mp4

02:28

113. CEIL & FLOOR.mp4

03:34

114. CEIL & FLOOR in BigQuery.mp4

05:47

115. RANDOM.mp4

05:06

116. RANDOM in BigQuery.mp4

05:38

117. SETSEED.mp4

04:12

118. SETSEED in BigQuery.mp4

00:22

119. ROUND.mp4

02:27

120. POWER.mp4

02:25

121. POWER in BigQuery.mp4

01:57

122. Exercise 14 Mathematical Functions.mp4

01:34

123. CURRENT DATE & TIME.mp4

04:31

124. CURRENT DATE & TIME in BigQuery.mp4

04:51

125. AGE.mp4

03:50

126. AGE in BigQuery.mp4

08:13

127. EXTRACT.mp4

08:17

128. EXTRACT in BigQuery.mp4

03:49

129. Exercise 15 Date-time functions.mp4

01:24

130. PATTERN MATCHING BASICS.mp4

07:44

131. ADVANCE PATTERN MATCHING (REGULAR EXPRESSIONS).mp4

15:21

132. PATTERN MATCHING in BigQuery.mp4

07:56

133. Exercise 16 Pattern Matching.mp4

01:42

134. Google Data Studio for visualizing BigQuery Data.mp4

03:41

135. The final milestone!.mp4

01:33

Description

Become BigQuery expert by mastering Google BigQuery for data analysis. Cover all SQL qureies in PostgeSQL & Big Query

What You'll Learn?

Knowledge of all the essential SQL commands in BigQuery and PostgreSQL
Become proficient in SQL tools like GROUP BY, JOINS and Subqueries
Become competent in using sorting and filtering commands in SQL

Who is this for?

Working Professionals beginning their Data journey

Anyone curious to master SQL from beginner to Advanced in short span of time

What You Need to Know?

Just a PC with any web browser

More details

Description
6 Reasons why you should choose this PostgreSQL and BigQuery course
Carefully designed curriculum teaching you everything in SQL and Google BigQuery that you will need for Data analysis in businesses
Comprehensive - covers basic and advanced SQL statements in both PostgreSQL and Google BigQuery
Business related examples and case studies on SQL and Google BigQuery
Ample practice exercises on Google BigQuery because SQL and Google BigQuery require practice
Downloadable resources on SQL and Google BigQuery
Your queries will be responded by the Instructor himself
A Verifiable Certificate of Completion is presented to all students who undertake this SQL and Google BigQuery course.
Why should you choose this course?
This is a complete tutorial on Google BigQuery and PostgreSQL which can be completed within a weekend. SQL is the most sought-after skill for Data analysis roles in all the companies. Google BigQuery is also in high demand in data analysis field. So whether you want to start a career as a data scientist or just grow you data analysis skills, or just want to learn Google BigQuery this course will cover everything you need to know to do that.
What makes us qualified to teach you?
The course is taught by Abhishek and Pukhraj. Instructors of the course have been teaching Data Science and Machine Learning for over a decade. We have experience in teaching and using Google BigQuery and PostgreSQL for data analysis purposes.
We are also the creators of some of the most popular online courses - with over 400,000 students and thousands of 5-star reviews like these ones:
I had an awesome moment taking this course. It broaden my knowledge more on the power use of SQL as an analytical tools. Kudos to the instructor! - Sikiru
Very insightful, learning very nifty tricks and enough detail to make it stick in your mind. - Armand
Our Promise
Teaching our students is our job and we are committed to it. If you have any questions about the course content, Google BigQuery, PostgreSQL, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.
Download Practice files, take Quizzes, and complete Assignments
With each lecture, there is a practice sheet attached for you to follow along. You can also take quizzes to check your understanding of concepts on Google BigQuery and PostgreSQL. Each section contains a practice assignment for you to practically implement your learning on Google BigQuery and PostgreSQL. Solution to Assignment is also shared so that you can review your performance.
By the end of this course, your confidence in using Google BigQuery and PostgreSQL will soar. You'll have a thorough understanding of how to use Google BigQuery and PostgreSQL for Data analytics as a career opportunity.
Go ahead and click the enroll button, and I'll see you in lesson 1 of this Google BigQuery and PostgreSQL course.
Cheers
Start-Tech Academy

FAQ's
Why learn SQL?
SQL is the most universal and common used database language.It powers the most commonly used database engines like PostgreSQL, SQL Server, SQLite, and MySQL. Simply put,If you want to access databases then yes, you need to know SQL.
It is not really difficult to learn SQL. SQL is not a programming language, itâ€™s a query language. The primary objective where SQL was created was to give the possibility to common people get interested data from database. It is also an English like language so anyone who can use English at a basic level can write SQL query easily.
SQL is one of the most sought-after skills by hiring employers.
You can earn good money
How much time does it take to learn SQL?
SQL is easy but no one can determine the learning time it takes. It totally depends on you. The method we adopted to help you learn SQL quickly starts from the basics and takes you to advanced level within hours. You can follow the same, but remember you can learn nothing without practicing it. Practice is the only way to learn SQL quickly.
What are the steps I should follow to learn SQL?
Start learning from the basics of SQL. The first 10 sections of the course cover the basics.
Once done with the basics, try your hands on advanced SQL. Next 10 sections cover Advanced topics
Practice your learning on the exercise provided in every section.
What's the difference between SQL and PostgreSQL?
SQL is a language. Specifically, the "Structured Query Language"
PostgreSQL is one of several database systems, or RDMS (Relational Database Management System). PostgresSQL is one of several RDMS's, others of which are Oracle, Informix, MySQL, and MSQL.
All of these RDMSs use SQL as their language. Each of them have minor variations in the "dialect" of SQL that they use, but it's all still SQL.
What is BigQuery used for?
BigQuery is a web service from Google that is used for handling or analyzing big data. Google BigQuery is part of the Google Cloud Platform. As a NoOps (no operations) data analytics service, Google BigQuery offers users the ability to manage data using fast SQL-like queries for real-time analysis.
Is BigQuery free?
For users of Google BigQuery the first 10GB of storage per month is free and the first 1TB of query per month is free. Post these limits, Google BigQuery is chargeable.
Which is better, PostgreSQL or MySQL?
Both are excellent products with unique strengths, and the choice is often a matter of personal preference.
PostgreSQL offers overall features for traditional database applications, while MySQL focuses on faster performance for Web-based applications.
Open source development will bring more features to subsequent releases of both databases.
Who uses these databases?
Here are a few examples of companies that use PostgreSQL: Apple, BioPharm, Etsy, IMDB, Macworld, Debian, Fujitsu, Red Hat, Sun Microsystem, Cisco, Skype.
Google BigQuery is used by companies such as Spotify, The New York Times, Stack Etc.
Who this course is for:
Working Professionals beginning their Data journey
Anyone curious to master SQL from beginner to Advanced in short span of time

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Start-Tech Academy is a technology-based Analytics Education Company and aims at Bringing Together the analytics companies and interested Learners. Our top quality training content along with internships and project opportunities helps students in launching their Analytics journey. Founded by Abhishek Bansal and Pukhraj Parikh. Working as a Project manager in an Analytics consulting firm, Pukhraj has multiple years of experience working on analytics tools and software. He is competent in MS office suites, Cloud computing, SQL, Tableau, SAS, Google analytics and Python.Abhishek worked as an Acquisition Process owner in a leading telecom company before moving on to learning and teaching technologies like Machine Learning and Artificial Intelligence.

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