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Business Business Analytics & Intelligence Business Analysis

The Business Intelligence Analyst Course 2021

The skills you need to become a BI Analyst - Statistics, Database theory, SQL, Tableau – Everything is included
Bestseller
Rating: 4.5 out of 54.5 (30,018 ratings)
143,132 students
Created by 365 Careers
Last updated 3/2021
English
English [Auto], French [Auto], 
30-Day Money-Back Guarantee

What you'll learn

  • Become an expert in Statistics, SQL, Tableau, and problem solving
  • Boost your resume with in-demand skills
  • Gather, organize, analyze and visualize data
  • Use data for improved business decision-making
  • Present information in the form of metrics, KPIs, reports, and dashboards
  • Perform quantitative and qualitative business analysis
  • Analyze current and historical data
  • Discover how to find trends, market conditions, and research competitor positioning
  • Understand the fundamentals of database theory
  • Use SQL to create, design, and manipulate SQL databases
  • Extract data from a database writing your own queries
  • Create powerful professional visualizations in Tableau
  • Combine SQL and Tableau to visualize data from the source
  • Solve real-world business analysis tasks in SQL and Tableau
Curated for the Udemy for Business collection

Requirements

  • No prior experience is required. We will start from the very basics
  • You’ll need to install MySQL, Tableau Public, and Anaconda. We will show you how to do it step by step
  • Microsoft Excel 2003, 2010, 2013, 2016, or 365

Description

Hi! Welcome to The Business Intelligence Analyst Course, the only course you need to become a BI Analyst. 

We are proud to present you this one-of-a-kind opportunity. There are several online courses teaching some of the skills related to the BI Analyst profession. The truth of the matter is that none of them completely prepare you.

Our program is different than the rest of the materials available online.  

It is truly comprehensive. The Business Intelligence Analyst Course comprises of several modules:  

  • Introduction to Data and Data Science  

  • Statistics and Excel  

  • Database theory  

  • SQL  

  • Tableau  

  • SQL + Tableau  

These are the precise technical skills recruiters are looking for when hiring BI Analysts. And today, you have the chance of acquiring an invaluable advantage to get ahead of other candidates. This course will be the secret to your success. And your success is our success, so let’s make it happen!  

Here are some more details of what you get with The Business Intelligence Analyst Course:   

  • Introduction to Data and Data Science – Make sense of terms like business intelligence, traditional and big data, traditional statistical methods, machine learning, predictive analytics, supervised learning, unsupervised learning, reinforcement learning, and many more;  

  • Statistics and Excel – Understand statistical testing and build a solid foundation. Modern software packages and programming languages are automating most of these activities, but this part of the course gives you something more valuable – critical thinking abilities;  

  • Database theory – Before you start using SQL, it is highly beneficial to learn about the underlying database theory and acquire an understanding of why databases are created and how they can help us manage data  

  • SQL - when you can work with SQL, it means you don’t have to rely on others sending you data and executing queries for you. You can do that on your own. This allows you to be independent and dig deeper into the data to obtain the answers to questions that might improve the way your company does its business  

  • Tableau – one of the most powerful and intuitive data visualization tools available out there. Almost all large companies use such tools to enhance their BI capabilities. Tableau is the #1 best-in-class solution that helps you create powerful charts and dashboards  

  • Learning a programming language is meaningless without putting it to use. That’s why we integrate SQL and Tableau, and perform several real-life Business Intelligence tasks  

Sounds amazing, right?  

Our courses are unique because our team works hard to:  

  • Pre-script the entire content  

  • Work with real-life examples  

  • Provide easy to understand and complete explanations  

  • Create beautiful and engaging animations  

  • Prepare exercises, course notes, quizzes, and other materials that will enhance your course taking experience  

  • Be there for you and provide support whenever necessary  

We love teaching and we are really excited about this journey. It will get your foot in the door of an exciting and rising profession. Don’t hesitate and subscribe today. The only regret you will have is that you didn’t find this course sooner!

Who this course is for:

  • Beginners to programming and data science
  • Students eager to learn about job opportunities in the field of data science
  • Candidates willing to boost their resume by learning how to combine the knowledge of Statistics, SQL, and Tableau in a real-world working environment
  • SQL Programmers who want to develop business reasoning and apply their knowledge to the solution of various business tasks
  • People interested in a Business Intelligence Analyst career

Featured review

Tatsiana Kalinina
Tatsiana Kalinina
20 courses
6 reviews
Rating: 5.0 out of 59 months ago
That's a really cool course! It's well structured and gives you the really important skills . The real business example also helps to get the practice that is so exciting! Thanks a lot for your work, guys!

Course content

49 sections • 413 lectures • 20h 20m total length

  • Preview03:38
  • Download All Resources
    00:14

  • Why Are There So Many Business and Data Science Buzzwords?
    Preview05:21
  • Analysis vs Analytics
    Preview03:50
  • Intro to Business Analytics, Data Analytics, and Data Science
    08:26
  • Intro to Business Analytics, Data Analytics, and Data Science
    5 questions
  • Adding Business Intelligence (BI), Machine Learning (ML), and AI to the Picture
    09:31
  • Adding Business Intelligence (BI), Machine Learning (ML), and AI to the Picture
    2 questions
  • Preview04:03
  • An Overview of our Data Science Infographic
    1 question

  • When are Traditional data, Big Data, BI, Traditional Data Science and ML applied
    07:19
  • When are Traditional data, Big Data, BI, Traditional Data Science and ML applied
    1 question

  • Why do we Need each of these Disciplines?
    04:44
  • Why do we Need each of these Disciplines?
    1 question

  • Traditional Data: Techniques
    08:13
  • Traditional Data: Techniques
    1 question
  • Traditional Data: Real-life Examples
    01:44
  • Big Data: Techniques
    04:26
  • Big Data: Techniques
    1 question
  • Big Data: Real-life Examples
    01:32
  • Business Intelligence (BI): Techniques
    06:45
  • Business Intelligence (BI): Techniques
    4 questions
  • Business Intelligence (BI): Real-life Examples
    01:42
  • Traditional Methods: Techniques
    09:08
  • Traditional Methods: Techniques
    4 questions
  • Traditional Methods: Real-life Examples
    02:45
  • Machine Learning (ML): Techniques
    06:55
  • Machine Learning (ML): Techniques
    2 questions
  • Machine Learning (ML): Types of Machine Learning
    Preview08:13
  • Machine Learning (ML): Types of Machine Learning
    2 questions
  • Machine Learning (ML): Real-life Examples
    02:11
  • Machine Learning (ML): Real-life Examples
    5 questions

  • Programming Languages & Software Employed in Data Science - All the Tools Needed
    05:51
  • Programming Languages & Software Employed in Data Science - All the Tools Needed
    4 questions

  • Data Science Job Positions: What do they Involve and What to Look out for?
    03:29
  • Data Science Job Positions: What do they Involve and What to Look out for?
    1 question

  • Dispelling common Misconceptions
    04:10
  • Dispelling common Misconceptions
    1 question

  • Population vs sample
    04:02
  • Population and Sample
    2 questions

  • Types of Data
    04:33
  • Types of data
    2 questions
  • Preview03:43
  • Levels of measurement
    2 questions
  • Categorical Variables - Visualization Techniques
    04:52
  • Categorical variables. Visualization Techniques
    1 question
  • Categorical Variables Exercise
    00:03
  • Numerical Variables - Frequency Distribution Table
    03:09
  • Numerical variables. Using a frequency distribution table
    1 question
  • Numerical Variables Exercise
    00:03
  • The Histogram
    02:14
  • The Histogram
    1 question
  • Histogram Exercise
    00:03
  • Cross Table and Scatter Plot
    04:44
  • Cross Tables and Scatter Plots
    1 question
  • Cross Tables and Scatter Plots Exercise
    00:03
  • Mean, median and mode
    04:20
  • Mean, Median and Mode Exercise
    00:03
  • Skewness
    02:37
  • Skewness
    1 question
  • Skewness Exercise
    00:03
  • Variance
    05:55
  • Variance Exercise
    00:03
  • Standard Deviation and Coefficient of Variation
    04:40
  • Standard deviation
    1 question
  • Standard Deviation and Coefficient of Variation Exercise
    00:03
  • Covariance
    03:23
  • Covariance
    1 question
  • Covariance Exercise
    00:03
  • Correlation Coefficient
    03:17
  • Correlation Coefficient
    1 question
  • Correlation Coefficient Exercise
    00:03

Instructor

365 Careers
Creating opportunities for Business & Finance students
365 Careers
  • 4.5 Instructor Rating
  • 405,389 Reviews
  • 1,381,164 Students
  • 71 Courses

365 Careers is the #1 best-selling provider of finance courses on Udemy. The company’s courses have been taken by more than 1,000,000 students in 210 countries. People working at world-class firms like Apple, PayPal, and Citibank have completed 365 Careers trainings.  

Currently, the firm focuses on the following topics on Udemy:  

1) Finance – Finance fundamentals, Financial modeling in Excel, Valuation, Accounting, Capital budgeting, Financial statement analysis (FSA), Investment banking (IB), Leveraged buyout (LBO), Financial planning and analysis (FP&A), Corporate budgeting, applying Python for Finance, Tesla valuation case study, CFA, ACCA, and CPA

2) Data science – Statistics, Mathematics, Probability, SQL, Python programming, Python for Finance, Business Intelligence, R, Machine Learning, TensorFlow, Tableau, the integration of SQL and Tableau, the integration of SQL, Python, Tableau, Power BI, Credit Risk Modeling, and Credit Analytics

3) Entrepreneurship – Business Strategy, Management and HR Management, Marketing, Decision Making, Negotiation, and Persuasion, Tesla's Strategy and Marketing

4) Office productivity – Microsoft Excel, PowerPoint, Microsoft Word, and Microsoft Outlook

5) Blockchain for Business

All of the company’s courses are:  

Pre-scripted  

Hands-on  

Laser-focused  

Engaging  

Real-life tested  

By choosing 365 Careers, you make sure you will learn from proven experts, who have a passion for teaching, and can take you from beginner to pro in the shortest possible amount of time.  

If you want to become a financial analyst, a finance manager, an FP&A analyst, an investment banker, a business executive, an entrepreneur, a business intelligence analyst, a data analyst, or a data scientist, 365 Careers’ courses are the perfect place to start. 

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