What you'll learnDevelop a strong foundation in SQL, mastering syntax, database concepts, and querying techniques for efficient data manipulation.
Seamlessly transfer Excel skills to SQL, leveraging familiarity with formulas and functions to perform data analysis effortlessly.
Execute complex SQL queries, extracting and transforming data for advanced analysis, utilizing aggregation, joins, and subqueries.
Generate insightful reports and visualizations in SQL, summarizing data, creating calculated fields, and effectively communicating findings.
Acquire practical knowledge of database management and best practices, ensuring efficient data retrieval, organization, and optimization in SQL
RequirementsNo programming experience is needed, all the concepts will be taught from the basics and this course is purely for the beginners.
DescriptionUnlock the full potential of your data analysis skills by seamlessly transitioning from Excel to SQL with our comprehensive course, "From Excel to SQL, Master SQL Like a Pro!" Designed specifically for Excel users and beginners in SQL, this course provides a smooth and intuitive learning path to master the world of SQL.Whether you're an Excel power user or rely on spreadsheets for your daily work, this course will empower you to take your data analysis and reporting skills to new heights. You'll discover how to leverage your existing Excel knowledge and apply it directly to SQL, eliminating the learning curve and accelerating your proficiency.Through practical examples and hands-on exercises, you'll learn how to manipulate data, perform complex queries, and generate insightful reports using SQL. We'll guide you through each step, demonstrating how to seamlessly translate Excel tasks and functions into powerful SQL queries. You'll gain a deep understanding of SQL syntax, database management, and best practices for efficient data retrieval and analysis.Key Features:Master SQL effortlessly with an Excel-like approachSeamlessly transition from Excel to SQL with ease and confidenceLearn practical SQL skills for data manipulation, complex queries, and reportingGain a deep understanding of SQL syntax, database management, and best practicesHands-on exercises and real-world examples to reinforce learningExcel-centric teaching approach for practical application of SQL conceptsSuitable for Excel users and beginners in SQL looking to enhance their data analysis skillsUnlock the power of SQL and revolutionize your data analysis workflow. Enroll now in "From Excel to SQL, Master SQL Like a Pro!" and propel your career to new heights by combining Excel's familiarity with the capabilities of SQL.What you can learn from this course,SQLExcelData analysisDatabase managementSQL queriesData manipulationReportingData visualizationExcel formulasData analyticsSQL syntaxData extractionData transformationData aggregationExcel functionsBeginner-friendlyPractical examplesHands-on exercisesExcel-like approachStep-by-step instructions
OverviewSection 1: Introduction
Lecture 1 Introduction
Lecture 2 Logging to snowflake
Lecture 3 Preparation
Section 2: Basic
Lecture 4 Select ALL
Lecture 5 Select specific columns
Lecture 6 Select specific Rows :- Where Clause
Lecture 7 Multiple Filters :- AND, OR, IN, Between, Not In, Not Between
Lecture 8 Aggregation :- SUM, MIN, MAX, COUNT, AVG
Lecture 9 Select unique values :- DISTINCT & Group By
Lecture 10 Filters on Aggregated Data :- Having Clause
Lecture 11 Column Alias :- Use cases ( AS )
Lecture 12 Conditional Logic :- CASE, IFF
Lecture 13 Limiting records :- TOP, Limit, Sample
Lecture 14 Intro to NULL, finding NULL values, replace NULL with Coalease, NULLIFZERO
Lecture 15 Sorting the output :- ORDER BY
Lecture 16 Subquery
Section 3: Joins
Lecture 17 Join Concept
Lecture 18 Inner JOIN
Lecture 19 Left JOIN
Lecture 20 Right JOIN
Lecture 21 Full Outer JOIN
Lecture 22 CROSS JOIN
Section 4: SET Operators
Lecture 23 Set Operator - Concept
Lecture 24 UNION ALL
Lecture 25 UNION
Lecture 26 MINUS / Except
Lecture 27 INTERSECT
Section 5: DML
Lecture 28 Insert Into the table :- 1 row, multiple rows at a time (Manual)
Lecture 29 Insert Into the table :- From other tables
Lecture 30 Handling NOT NULL columns :- Default Values
Lecture 31 Update a specific value
Lecture 32 Update using other tables
Lecture 33 Delete Specific row in table
Lecture 34 Delete based upon reference table
Lecture 35 Truncate
Lecture 36 Merge
Section 6: DDL
Lecture 37 Data Types
Lecture 38 Create Table, Primary Key, Not Null
Lecture 39 Create Table with Like and Clone
Lecture 40 Alter Table :- Add a column
Lecture 41 Alter Table :- Drop a column
Lecture 42 Alter Table :- Rename a column
Lecture 43 Drop Table
Lecture 44 Create View
Lecture 45 Create Materialized View
Section 7: Type Casting
Lecture 46 Number to String :- to_char/to_varchar
Lecture 47 String to Number :- To_Number
Lecture 48 String to Date :- To_Date
Section 8: Advanced SQL
Lecture 49 Pivot
Lecture 50 Unpivot
Lecture 51 Aggregate with LISTAGG
Lecture 52 Table Functions
Lecture 53 Hierarchy
Lecture 54 Hierarchy using Connect By
Lecture 55 Recursive SQL
Lecture 56 Common Table Expression :- CTE
Section 9: Window Functions
Lecture 57 Windows Functions + Rank
Lecture 58 Row_Number
Lecture 59 NTILE
Lecture 60 Dense_Rank
Lecture 61 LAG & LEAD
Lecture 62 First_Value, Last_Value, NTH_Value
Lecture 63 Cumulative Sum
Lecture 64 Handling Duplicates
Section 10: String Functions
Lecture 65 Concat
Lecture 66 Len
Lecture 67 Substr
Lecture 68 Position
Lecture 69 Upper case, Lower case & proper case
Lecture 70 Trim
Lecture 71 Replace
Lecture 72 Reverse
Lecture 73 Contains
Lecture 74 ARRAY_AGG
Lecture 75 Translate
Section 11: Number Functions
Lecture 76 SUM, Count, Min, Max, AVG, ABS
Lecture 77 Arithmetic Operations
Lecture 78 Convert String to Number
Section 12: Date Functions
Lecture 79 Get Number of Day/Month/Year between 2 dates, DATEDIFF, TIMEDIFF
Section 13: Regular Expression
Lecture 80 REGEXP
Lecture 81 REGEXP_LIKE
Lecture 82 REGEXP_SUBSTR & REGEXP_SUBSTR_ALL
Lecture 83 REGEXP_Count
Lecture 84 REGEXP_REPLACE
Lecture 85 REGEXP_INSTR
Section 14: Bonus Sessions
Lecture 86 SQL:- Standards & Tips
Lecture 87 Performance Tunning
Section 15: Practice Session
Lecture 88 Practice Session 1
Lecture 89 Practice Session 2
Lecture 90 Practice Session 3
Lecture 91 Practice Session 4
Lecture 92 Practice Session 5
Lecture 93 Practice Session 6
Lecture 94 Practice Session 7
Lecture 95 Practice Session 8
Lecture 96 Practice Session 9
Beginners with no prior IT or SQL background, looking to learn SQL from scratch using Excel as a reference.,Excel users seeking to expand their data analysis capabilities by acquiring SQL skills in a beginner-friendly manner.,Professionals in various roles (finance, marketing, HR, etc.) who rely on Excel and want to enhance their data analysis using SQL.,Individuals interested in data analysis careers, wanting to start with SQL and gain a solid foundation for further learning.,Students or self-learners aiming to acquire practical SQL skills, with a focus on applying them within the context of Excel-based data analysis.
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