Master SQL with AI: Learn Smarter, Query Faster | Udemy

• Solve 60+ SQL Queries asked in product based MNCs with the use of SQL Server and ChatGPT.

“Unlock the power of data manipulation and analysis with our ‘From Prompt to Query: Master 60+ SQL Solutions with ChatGPT.’  This extensive program provides a deep dive into essential SQL concepts, offering a rich collection of over 60 + diverse queries covering DDL, DML, and DQL operations. Each query comes with a clear problem statement and a step-by-step solution, enabling you to build a strong practical understanding of SQL for database management, data reporting, and complex analytical tasks. This program also will teach you – how you can use ChatGPT in your day to day task if you are a newbiee.’

• Downloadable resources are provided for all the queries used in this course – with solution.
• Do you day-to-day tasks efficiently and very timely manner.
• These solutions will be useful for multiple relation databases as well with some minor changes in the syntax and functions.
• Course content :

1. EASY LEVEL :

1 Percentage of Students Scoring Over 90

2 Find Customers Who Have Never Ordered

3 Find Departments With No Employees

4 Find Duplicate Emails

5 Find Users Active Every Month

6 Finding Matched and Mismatched Records

7 Find Employees Earning More Than Their Manager

8 Find Employee’s Manager Name

9 Find the Manager with the Most Reports

10 Find the Nth Highest Salary

11 Find the Number of Employees Reporting to Each Manager

12 Find Top 3 Highest Paid Employees per Department

13 Swap Gender Values in a Single Update

14 Categorize Products into Price Brackets

15 Find Products Never Sold using EXCEPT

16 List All Employees in Each Department

17 Extract User Domain firom Email

18 Count Medal Types per Country (Advanced Pivot)

19 Find Employees Who Joined Befiore Their Manager

20 Delete Orders of Inactive Customers

21 Find Products Sold in January but Not in February

22 Calculate Basic Customer Lifietime Value (LTV)

23 Find Mutual Friends

24 Find Team Size for Each Employee

25 Immediate Food Delivery Percentage

26 Find Managers with Exactly 5 Direct Reports

27 Find Movies with Ratings Above Genre Average

28 Game Play Analysis

29 Actor and Director Cooperation

30 Find Second Most Recent Activity

2. MEDIUM LEVEL :

31 Students Scoring Above Average in Each Subject

32 Second Highest and Lowest Marks per Subject

33 Calculate Running Total of Sales

34 Delete Duplicate Rows

35 Group User Activity into Sessions (Sessionization)

36 Find the Mode (Most Frequent Value)

37 Calculate Each Employee”s Salary as Percentage of Department Total

38 Calculate Time to Next User Action

39 User Purchase Platform Analysis

40 Find the  Quiet Students in an Exam

41 Sales Persons with No RED Company Orders

42 Monthly Transactions Report

43 Project Completion Rate

44 Find Products with High Orders in a Period

45 Calculating a 7-Day Moving Average

46 Find Overlapping Date Ranges

47 User’s Third Transaction

48 Signup Activation Rate

49 Spotify Streaming History

50 Pharmacy Analytics (Part 4)

51 Repeat Purchases on Multiple Days

52 Highest Number of Products

53 Repeated Payments

54 2nd Ride Delay

55 Histogram of Users and Purchases

56 LinkedIn Power Creators (Part 2)

57 Email Table Transformation

58 Card Launch Success

59 Photoshop Revenue Analysis

60 Average Deal Size (Part 2)

61 Cumulative Purchases by Product Type

62 User Session Activity

63 Unique Money Transfer Relationships

64 Supercloud Customer [Microsoft SQL Interview Question]

65 First Transaction

3. HARD LEVEL :

66 Compare Yesterday’s vs. Today’s Data

67 ICC Tournament Points Table

68 Track Mark Progression Between Tests

69 Find Month-over-Month Sales Growth

70 Multi-Step Funnel Analysis

71 Sending vs. Opening Snaps

72 Active User Retention

73 Y-on-Y Growth Rate

74 Consecutive Filing Years

75 Marketing Touch Streak

76 Patient Support Analysis (Part 3)

77 Patient Support Analysis (Part 4)

78 Same Week Purchases

79 Follow-Up Airpod Percentage

80 Monthly Merchant Balance

81 Weekly Churn Rates

82 Uniquely Staffed Consultants

83 Page Recommendations

84 Top customer in each city

85 Pivot table of monthly sales by category

86 Find recurring customers

87 Percentage of order status per day

88 Ad Campaign ROAS

89 Subject Matter Experts

90 Calculate average session duration

While solving these queries – audience will learn basics to advanced level concepts of SQL and if you practice side by side – I am sure , you will able to solve any SQL Queries asked in your interviews.