Business Intelligence Analyst Course
Business Intelligence Analyst Course, available at $49.99, has an average rating of 4.33, with 186 lectures, 2 quizzes, based on 6 reviews, and has 65 subscribers.
You will learn about MY SQL Workbench & commands MY SQL Queries MY SQL functions SQL Join queries across tables Excel Charts & Pivots Create reports from pivots Install Tableau Desktop 2022 Tableau Interface & Charts Tableau Filters Tableau Visualization Activities Work with Parameters Create Treemaps Create Data Hierarchies Adding Filters and Quick Filters Create Dual Axis Charts Create Area Charts Create Scatterplots Create Piecharts Create Barcharts Dashboard Creation in Tableau Adding Actions to Dashboards (filters ) This course is ideal for individuals who are Absolute beginners & Intermediates are also welcome or Working professionals, business analytics & managers or Anyone interested in learning SQL to help with their current job or to find a new role or Anyone looking to answer complex business problems and generate reports using data It is particularly useful for Absolute beginners & Intermediates are also welcome or Working professionals, business analytics & managers or Anyone interested in learning SQL to help with their current job or to find a new role or Anyone looking to answer complex business problems and generate reports using data.
Enroll now: Business Intelligence Analyst Course
Summary
Title: Business Intelligence Analyst Course
Price: $49.99
Average Rating: 4.33
Number of Lectures: 186
Number of Quizzes: 2
Number of Published Lectures: 186
Number of Published Quizzes: 2
Number of Curriculum Items: 188
Number of Published Curriculum Objects: 188
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- MY SQL Workbench & commands
- MY SQL Queries
- MY SQL functions
- SQL Join queries across tables
- Excel Charts & Pivots
- Create reports from pivots
- Install Tableau Desktop 2022
- Tableau Interface & Charts
- Tableau Filters
- Tableau Visualization Activities
- Work with Parameters
- Create Treemaps
- Create Data Hierarchies
- Adding Filters and Quick Filters
- Create Dual Axis Charts
- Create Area Charts
- Create Scatterplots
- Create Piecharts
- Create Barcharts
- Dashboard Creation in Tableau
- Adding Actions to Dashboards (filters )
Who Should Attend
- Absolute beginners & Intermediates are also welcome
- Working professionals, business analytics & managers
- Anyone interested in learning SQL to help with their current job or to find a new role
- Anyone looking to answer complex business problems and generate reports using data
Target Audiences
- Absolute beginners & Intermediates are also welcome
- Working professionals, business analytics & managers
- Anyone interested in learning SQL to help with their current job or to find a new role
- Anyone looking to answer complex business problems and generate reports using data
Welcome to the Business Intelligence Analystcourse! This comprehensive course is designed to provide you with a solid foundation in MySQL and Tableau, focusing on SQL queries, Excel & Tableau functionality, filters, and charts. Whether you’re a beginner or have some experience with these tools, this course will help you develop the skills necessary to manipulate and visualize data effectively.
In the MySQL sectionof the course, you will learn the fundamentals of SQL queries. SQL (Structured Query Language) is a powerful tool used for managing and analyzing data stored in relational databases. You will explore the basics of creating databases, designing tables, and manipulating data using SQL queries. By the end of this section, you will have a strong understanding of SQL and the ability to retrieve, filter, and aggregate data efficiently.
Moving on to Tableau, youwill be introduced to the basics of this popular data visualization tool. You will learn how to connect Tableau to data source, navigate the Tableau interface, and create simple visualizations. With a focus on filters, you will discover how to apply filters to your data to drill down and explore specific subsets of information. You will also learn how to create basic charts, such as bar charts, line charts, and pie charts, to effectively communicate your data.
Throughout this course, you will have the skills and confidence to work proficiently with MySQL, Tableau, Excel Pivots, and Charts, and leverage their combined power to uncover valuable insights, make informed decisions, and present data in a compelling and impactful way.
By the end of this course, you will have a strong foundation in SQL queries, a basic understanding of Tableau’s features, and the ability to apply filters and create charts in Tableau. These skills will empower you to work with databases, perform data analysis, and visualize data in a more meaningful and impactful way.
Whether you’re a student, a business professional, or someone interestedin expanding their data analysis skills, this course will equip you with the knowledge and confidence to tackle data-related tasks using MySQL and Tableau. Join us now to unlock the potential of these powerful tools and take your data analysis and visualization skills to become a BI analyst
Section 1:Bundle1 : MYSQL PART (A)
Lecture 1:A1
Lecture 2:A2
Section 2:MY SQL PART (B)
Lecture 3:B1
Lecture 4:B2
Lecture 5:B3
Section 3:MY SQL PART (C)
Lecture 8:C1
Lecture 9:C2
Section 4:MY SQL PART (D)
Lecture 8:D1
Lecture 9:D2
Lecture 10:D3
Lecture 11:D4
Lecture 12:D5
Lecture 13:D6
Lecture 14:D7
Lecture 15:D8
Section 5:MY SQL PART (E)
Lecture 16:E1
Section 6:MY SQL PART (F) Activities
Quiz 1:MY SQL QUIZ 1
Quiz 2:MY SQL QUIZ 2
Lecture 17:L1
Lecture 18:L2
Lecture 19:L3
Lecture 19:L4
Lecture 19:L5
Lecture 19:L6
Lecture 19:L7
Lecture 19:L8
Lecture 19:L9
Lecture 19:L10
Section 6:Bundle2 : Excel Pivots PART (A)
Lecture 20:A1
Section 7:Bundle2 : Excel Pivot PART (B)
Lecture 21:B1
Lecture 22:B2
Lecture 23:B3
Section 8:Bundle3 : Excel Charts PART (A)
Lecture 24:A1
Lecture 25:A2
Section 9:Bundle3 : Excel Charts PART (B)
Lecture 26:A3
Lecture 27:A4
Lecture 28:A5
Lecture 29:A6
Lecture 30:A7
Section 10:Bundle4 : Tableau PART (A)
Lecture 31:S1
Lecture 32:S2
Lecture 33:S3
Lecture 34:S4
Lecture 35:S5
Lecture 36:S6
Lecture 37:S7
Lecture 38:S8
Lecture 39:S9
Lecture 40:S10
Lecture 41:S11
Lecture 42:S12
Lecture 43:S13
Lecture 44:S14
Lecture 45:S15
Lecture 46:S16
Lecture 47:S17
Lecture 48:S18
Lecture 49:S19
Lecture 50:S20
Section 11:Tableau PART (B)
Lecture 51:S21
Lecture 52:S22
Lecture 53:S23
Lecture 54:S24
Lecture 55:S25
Lecture 56:S26
Lecture 57:S26
Section 12:Tableau PART (C)
Lecture 58:S27
Lecture 59:S28
Lecture 60:S29
Lecture 61:S30
Lecture 62:S31
Lecture 63:S32
Lecture 64:S33
Lecture 65:S34
Lecture 66:S35
Lecture 67:S36
Section 13:Tableau PART (C)
Lecture 68:S37
Lecture 69:S38
Lecture 70:S39
Lecture 71:S40
Lecture 72:S41
Lecture 73:S42
Lecture 74:S43
Lecture 75:S44
Lecture 76:S45
Lecture 77:S46
Lecture 78:S47
Lecture 79:S48
Lecture 80:S49
Lecture 81:S50
Lecture 82:S51
Lecture 83:S52
Section 14:Tableau PART (D)
Lecture 84:D1
Lecture 85:D2
Lecture 86:D3
Lecture 87:D4
Lecture 88:D5
Lecture 89:D6
Lecture 90:D7
Lecture 91:D8
Lecture 92:D9
Lecture 93:D10
Lecture 94:`D11
Lecture 95:D12
Lecture 96:D13
Lecture 97:D14
Lecture 98:D15
Lecture 99:D16
Lecture 100:D17
Lecture 101:D18
Lecture 102:D19
Section 15:Tableau PART (E)
Lecture 103:E1
Lecture 104:E2
Lecture 105:E3
Lecture 106:E4
Lecture 107:E5
Lecture 108:E6
Lecture 109:E7
Lecture 110:E8
Lecture 111:E9
Lecture 112:E10
Lecture 113:E11
Lecture 114:E12
Lecture 115:E13
Lecture 116:E15
Lecture 117:E16
Lecture 118:E17
Section 16:Tableau Activities
Lecture 119:Download Data Set
Content
Lecture 120:1
Lecture 121:2
Lecture 122:3
Lecture 123:4
Lecture 124:5
Lecture 125:6
Lecture 126:7
Lecture 127:8
Lecture 128:9
Lecture 129:10
Lecture 130:11
Lecture 131:12
Lecture 132:13
Lecture 133:14
Lecture 134:15
Lecture 135:16
Lecture 136:17
Lecture 137:18
Lecture 138:19
Lecture 139:20
Lecture 140:21
Lecture 141:22
Lecture 142:23
Course Curriculum
Chapter 1: Bundle1 : MYSQL PART (A)
Lecture 1: MYSQL db2 file
Lecture 2: Welcome
Lecture 3: A1
Lecture 4: A2
Chapter 2: MY SQL PART (B)
Lecture 1: B1
Lecture 2: B2
Lecture 3: B3
Chapter 3: MY SQL PART (C)
Lecture 1: C1
Lecture 2: C2
Chapter 4: MY SQL PART (D)
Lecture 1: D1
Lecture 2: D2
Lecture 3: D3
Lecture 4: D4
Lecture 5: D5
Lecture 6: D6
Lecture 7: D7
Lecture 8: D8
Chapter 5: MY SQL PART (E)
Lecture 1: E1
Lecture 2: E2
Lecture 3: E3
Lecture 4: E4
Lecture 5: E5
Chapter 6: MY SQL PART (F)
Lecture 1: F1
Lecture 2: F2
Lecture 3: F3
Chapter 7: MY SQL PART (G) Activities
Lecture 1: Live1
Lecture 2: Live2
Lecture 3: Live3
Chapter 8: Bundle2 : Excel Part A
Lecture 1: A01
Lecture 2: A02
Lecture 3: A03
Lecture 4: A04
Chapter 9: Excel Pivots Part B
Lecture 1: A01
Lecture 2: A02
Lecture 3: A03
Lecture 4: A04
Chapter 10: CF_Excel Part C
Lecture 1: A01
Lecture 2: A02
Chapter 11: FS_Excel Part D
Lecture 1: A01
Lecture 2: A02
Lecture 3: A03
Chapter 12: FF_Excel Part F
Lecture 1: A01
Lecture 2: A02
Lecture 3: A03
Lecture 4: A04
Lecture 5: A05
Lecture 6: A06
Lecture 7: A07
Chapter 13: Bundle3 : Excel Charts PART (A)
Lecture 1: A1
Lecture 2: A2
Chapter 14: Excel Charts PART (B)
Lecture 1: A3
Lecture 2: A4
Lecture 3: A5
Lecture 4: A6
Lecture 5: A7
Chapter 15: Bundle4 : Tableau PART (A)
Lecture 1: S1
Lecture 2: S2
Lecture 3: S3
Lecture 4: S4
Lecture 5: S5
Lecture 6: S6
Lecture 7: S7
Lecture 8: S8
Lecture 9: S9
Lecture 10: S10
Lecture 11: S11
Lecture 12: S12
Lecture 13: S13
Lecture 14: S14
Lecture 15: S15
Lecture 16: S16
Lecture 17: S17
Lecture 18: S18
Lecture 19: S19
Lecture 20: S20
Chapter 16: Tableau PART (B)
Lecture 1: S21
Lecture 2: S22
Lecture 3: S23
Lecture 4: S24
Lecture 5: S25
Lecture 6: S26
Lecture 7: S26
Instructors
-
Raghvan Bhattacharya
Booster
Rating Distribution
- 1 stars: 0 votes
- 2 stars: 0 votes
- 3 stars: 2 votes
- 4 stars: 0 votes
- 5 stars: 4 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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