Tableau Courses Johannesburg

Tableau Courses Johannesburg
July 13, 2024 No Comments on Tableau Courses JohannesburgTableau Courses Johannesburg
Tableau Training – Joburg
Johannesburg, South Africa’s biggest city and capital of Gauteng province, began as a 19th-century gold-mining settlement. Its sprawling Soweto township was once home to Nelson Mandela and Desmond Tutu. Mandela’s former residence is now the Mandela House museum. Other Soweto museums that recount the struggle to end segregation include the somber Apartheid Museum and Constitution Hill, a former prison complex.
Our range of sql courses accelerate coders to learn popular programming languages such as mysql, postgresql, power bi and tableau.
Frequently asked questions about the Tableau Courses Johannesburg.
- All in all A intro Tableau course.
- An advanced Tableau course.
- Furthermore A Business Intelligence course.
- A Data Science course with Tableau.
- Including A very basic sql course for 8-10 hours.
- An intro Microsoft SQL Server or Oracle database course.
- Thus An advanced Microsoft SQL Server or Oracle database course.
- A intro postgreSQL course.
- Furthermore An advanced postgreSQL course.
- A 3 month SQL course (intro, intermediate and advanced sql).
- In turn A 6 month SQL course (intro, intermediate and advanced sql, choice of two database platforms).
Part-Time
Fast forward your career in the IT industry with a part-time networking and hardware courses at School of IT. All in all the Part-time Tableau Courses Johannesburg that allow working professionals to transition into a new skill set while working. In turn at School of IT we are agile and can customize a sql course to the individual. Start anytime and choose your hours!
Full Time
Are you ready to start a career in IT? In turn learn about Tableau as a full time student at School of IT. Thus beginning your career as a database administrator. Start anytime and manage your own contact hours with your mentor!
High School
In addition prepare for the future by learn about Tableau software while you’re still in high school. Have the option to get internationally accredited and recognized before you even finish school!
Corporate
All in all upskill yourself or your company by learning about database design while you’re working. Thus no matter where you are, you can upskill yourself and get internationally accredited and recognized in under 6 months!
Course objectives
By the end of the intro Tableau course students will have usable knowledge of the following:
- Understand Tableau and an overview of the different versions.
- Installing and managing Tableau Software.
- Get understanding of Tableau workspace.
- Mapping data in Tableau.
- Learn Workbook level formatting.
- Including Data analysis with Tableau.
- Use Visualization.
- With attention Dashboards and stories.
- Overall understand of all databases, advantages and disadvantages.
- Including data connections.
Course objectives
By the end of the advanced Tableau course students will have usable knowledge of the following:
- Understand Tableau Dashboard.
- Learn Tableau Formatting.
- In addition Tableau Forecasting.
- Create Tableau Trend Lines.
By the end of the Business Intelligence students will have usable knowledge of the following:
- Understand SQL basics
- Report and analyze data
- Learn SQL database syntax.
- Manage reports and implement Security.
- All in all understand and create a Cube.
- Create data sources and data source views
- Understand data mining
- Learn SQL Server Analysis Services.
- Overall create procedures and use reporting
- Furthermore an Introduction to MDX: Multidimensional Expressions (MDX). In turn use it retrieve multidimensional data in SQL Server Analysis Services.
By the end of the Data Science course, students will have usable knowledge of the following:
- Overall apply statistical methods to data.
- Use tableau for data visualization.
- Be able to understand Python to explore and transform data.
- Create,validate machine learning models with Azure Machine Learning.
- Thoroughly Understand Python code to build machine learning models.
- Apply data science techniques to common scenarios.
- Implement a machine learning solution for a given data problem.
- Overall learn advanced Python and Data Analysis to implement computer science algorithms.
- Implement a BioInformatics and natural language processing.
- Acquire the skills needed to find structure in data and how to use the python libraries.
- The Matplotlib.
- Learn tSciKit.
- In turn NumPy.
- NLTK,
- All in all become Bi Developer.
- Data Scientists.
- Furthermore Back end developer.
- Become a Software Developer.
- In turn a Database Administrator.
- Get a job as Full stack developer.