6 Essential Skills to Make A Great BI Analyst Series 1

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Online

£ 10 + VAT

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    Course

  • Methodology

    Online

  • Start date

    Different dates available

About this courseHi! Welcome to our Business Intelligence Analyst Course Series. This course entails the six essential skills you need to make a great BI analystWe are excited to present you a course series that stands out.This BI program is different than the rest of the materials available online. 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! Introduction to Data and Data Science 
Statistics and Excel 
Database theory 
SQL 
Tableau 
SQL + Tableau 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...

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this 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

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

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This centre's achievements

2021

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More than 50 reviews in the last 12 months

This centre has featured on Emagister for 4 years

Subjects

  • MS Excel
  • Programming
  • Business Intelligence
  • Statistics
  • Database training
  • SQL
  • Database
  • Excel

Course programme

The Different Data Science Fields 4 lectures 16:41 Lesson 1: Why are there so many Jargons in Business and Data Science Lesson 2: Analysis Vs Analytics Lesson 3: An Over view of Data Science Tasks Lesson 4: The Traditional Application of Data The Different Data Science Fields 4 lectures 16:41 Lesson 1: Why are there so many Jargons in Business and Data Science Lesson 2: Analysis Vs Analytics Lesson 3: An Over view of Data Science Tasks Lesson 4: The Traditional Application of Data Lesson 1: Why are there so many Jargons in Business and Data Science Lesson 1: Why are there so many Jargons in Business and Data Science Lesson 1: Why are there so many Jargons in Business and Data Science Lesson 1: Why are there so many Jargons in Business and Data Science Lesson 2: Analysis Vs Analytics Lesson 2: Analysis Vs Analytics Lesson 2: Analysis Vs Analytics Lesson 2: Analysis Vs Analytics Lesson 3: An Over view of Data Science Tasks Lesson 3: An Over view of Data Science Tasks Lesson 3: An Over view of Data Science Tasks Lesson 3: An Over view of Data Science Tasks Lesson 4: The Traditional Application of Data Lesson 4: The Traditional Application of Data Lesson 4: The Traditional Application of Data Lesson 4: The Traditional Application of Data Common Data Science Techniques 11 lectures 52:26 Lesson 1: Traditional Data Techniques Lesson 2: Traditional Data Real Life Examples Lesson 3: Big Data Techniques Lesson 4: Big Data Real Life Examples Lesson 5: Business Intelligence Techniques Lesson 6: Business Intelligence Real Life Examples Lesson 7::Traditional Methods Techniques Lesson 8: Traditional Methods Real Life Examples Lesson 9 :Machine Learning Techniques Lesson 10: Types of Machine Learning Lesson 11: Machine Learning Real Life Examples Common Data Science Techniques 11 lectures 52:26 Lesson 1: Traditional Data Techniques Lesson 2: Traditional Data Real Life Examples Lesson 3: Big Data Techniques Lesson 4: Big Data Real Life Examples Lesson 5: Business Intelligence Techniques Lesson 6: Business Intelligence Real Life Examples Lesson 7::Traditional Methods Techniques Lesson 8: Traditional Methods Real Life Examples Lesson 9 :Machine Learning Techniques Lesson 10: Types of Machine Learning Lesson 11: Machine Learning Real Life Examples Lesson 1: Traditional Data Techniques Lesson 1: Traditional Data Techniques Lesson 1: Traditional Data Techniques Lesson 1: Traditional Data Techniques Lesson 2: Traditional Data Real Life Examples Lesson 2: Traditional Data Real Life Examples Lesson 2: Traditional Data Real Life Examples Lesson 2: Traditional Data Real Life Examples Lesson 3: Big Data Techniques Lesson 3: Big Data Techniques Lesson 3: Big Data Techniques Lesson 3: Big Data Techniques Lesson 4: Big Data Real Life Examples Lesson 4: Big Data Real Life Examples Lesson 4: Big Data Real Life Examples Lesson 4: Big Data Real Life Examples Lesson 5: Business Intelligence Techniques Lesson 5: Business Intelligence Techniques Lesson 5: Business Intelligence Techniques Lesson 5: Business Intelligence Techniques Lesson 6: Business Intelligence Real Life Examples Lesson 6: Business Intelligence Real Life Examples Lesson 6: Business Intelligence Real Life Examples Lesson 6: Business Intelligence Real Life Examples Lesson 7::Traditional Methods Techniques Lesson 7::Traditional Methods Techniques Lesson 7::Traditional Methods Techniques Lesson 7::Traditional Methods Techniques Lesson 8: Traditional Methods Real Life Examples Lesson 8: Traditional Methods Real Life Examples Lesson 8: Traditional Methods Real Life Examples Lesson 8: Traditional Methods Real Life Examples Lesson 9 :Machine Learning Techniques Lesson 9 :Machine Learning Techniques Lesson 9 :Machine Learning Techniques Lesson 9 :Machine Learning Techniques Lesson 10: Types of Machine Learning Lesson 10: Types of Machine Learning Lesson 10: Types of Machine Learning Lesson 10: Types of Machine Learning Lesson 11: Machine Learning Real Life Examples Lesson 11: Machine Learning Real Life Examples Lesson 11: Machine Learning Real Life Examples Lesson 11: Machine Learning Real Life Examples Common Data Science Tools 1 lecture 05:48 Programming Languages and Software Employed in Data Science Common Data Science Tools 1 lecture 05:48 Programming Languages and Software Employed in Data Science Programming Languages and Software Employed in Data Science Programming Languages and Software Employed in Data Science Programming Languages and Software Employed in Data Science Programming Languages and Software Employed in Data Science Data Science Career Path 1 lecture 03:09 Data Science Job Positions Data Science Career Path 1 lecture 03:09 Data Science Job Positions Data Science Job Positions Data Science Job Positions Data Science Job Positions Data Science Job Positions Dispelling Common Misconceptions 1 lecture 03:51 Dispelling Common Misconceptions Dispelling Common Misconceptions 1 lecture 03:51 Dispelling Common Misconceptions Dispelling Common Misconceptions Dispelling Common Misconceptions Dispelling Common Misconceptions Dispelling Common Misconceptions

Additional information

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

6 Essential Skills to Make A Great BI Analyst Series 1

£ 10 + VAT