BIG DATA SKILLSTREE

Micro Skill

you

IS1 BD
Introduction to Data Science
HS1 BD
Programming Language (Python)
HS2 BD
SQL for Data Analytics
HS3 BD
Data Structures & Algorithms
HS9 BD
Data Modelling
HS10 BD
Hardware / Software Integration
Data Engineer
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Data Engineer SKILLSTREE

you

Micro skills

IS1 BD
Introduction to Data Science
HS1 BD
Programming Language (Python)
HS2 BD
SQL for Data Analytics
HS3 BD
Data Structures & Algorithms
HS9 BD
Data Modelling
HS10 BD
Hardware / Software Integration
Data Engineer
Discover More
Go

Average Compensation

for Data Engineer

Monthly

$6,667 to

$13,333

Annual

$80,000 to

$160,000

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& unlock your future!

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Micro Learning

  • Basic understanding of:
  • Data mining
  • Mathematics for data science
  • Python programming
  • Machine Learning
  • Data Analysis
  • Data visualisation
  • Decision-making
  • Basic of Artificial Intelligence and Python
  • Data Analysis with Python
  • Python for beginners
  •  Programming Language (Python) Pyt
  • hon / JAVA (Hadoop) – Files and Directories
  •  Python Sequences
  • Image Class
  • ification using Python Chatbot: by ChatGPT with Python
    > Cloud Computing -Python – File IO
  • Basic of SQL Learning
  •  Effective use of Joins
  • Using Subqueries
  •  Excel to mySQL / Analytic Techniques
  •  Data Wrangling

Part 1: Pre-Requisite Skills Learning before taking Power BI:

  • Microsoft Excel (Basic / Beginner)
  • Microsoft Excel – Fundamental Data Type and Function for Data Analysing
  • Microsoft Excel – Functions, Cell Reference & Range Name
  • Microsoft Excel (Intermediate)
  • Microsoft Excel Function and Formula
  • Microsoft Excel (Automate and Protect Workbooks)
  • Microsoft Excel (Pivot Table)
  • Microsoft Excel (Advanced)

Part 2: Tool Usage: Power BI Learning

  • Learn Power BI in 2 hours
  • Tool application learning (Introductory)
  • Introduction to Data Storage and Formats
  •  Data storage options: HDFS, cloud storage, NoSQL databases (MongoDB)
  • Common data formats: JSON, Parquet, Avro.
  • Trade-offs between storage formats
  • MongoDB Deployment
  • Introduction to  Data Extract, transform, and load (ETL)
  •  Workflow and Process methods: Batch and Real-time reporting (Power Automate)
  • Data Quality and Transformation
  • Data storage and management