This course will focus on job-oriented technical skills. Learning modelling techniques and how to populate these data models, using Extract, Transform and Load (ELT) Technologies.
DurationThis course will focus on job-oriented technical skills. Learning modelling techniques and how to populate these data models, using Extract, Transform and Load (ELT) Technologies.
Learning software integration by using Java language and other technologies. Giving a quick introduction to Big Data, MapReduce algorithm, and Hadoop Distributed File System.
ERP College has been providing career training since 2005. We offer small classes, to mature students seeking to launch their careers, led by industry professionals who understand and believe in our mission.
To complement classroom learning, ERP College has established excellent working relationships with industry professionals. Our corporate connections enable students to obtain real life experience through non-paid co-op work placements for their practicum.
The practicum allows students the opportunity to apply their classroom skills, gain confidence in their field, and open doors to future employment.
This artificial intelligence course will help you learn AI and big data concepts such as digital learning, the reign of the algorithm, smart data, data lakes, and many more.
Data Analytics and Reporting (with SAP SAC, Microsoft Power BI, and Tableau) is a highly flexible and curated course designed based on the latest market research, combining three opportunity factors into one course, i.e., SAC, Microsoft Power BI, and Tableau, to raise the dual probability.
Big Data for Data Scientists is a 6-week project-based course that teaches data scientists the necessary tools to work on large-scale data science problems. The entire course is built around an end-to-end real-time machine learning problem.
Most importantly, this course focused on hands-on exercises, real-time use cases, and topic-wise code practice, which will help you get practical use of tools and codes rather than knowing only theoretical concepts.
Delve further into Power Query to ETL (Extract, Transform and Load) your data. Build the Data Model using modeling features and relationships. Perform calculations using DAX (Data Analysis Expressions) functions.
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