Junior to Senior Data Analyst (Master Spark, Microsoft Fabric & Power BI Self-Paced • 26–32 Hours • Project-Based)
Instructor
Najir H
60
Students
enrolled
- Description
- Curriculum
- Reviews
Course Introduction
SPARK 01 — Spark Foundations & Your First Notebook
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3
1.1.1 — Spark Mental Model- Why Spark
- Pandas vs Spark
- Distributed processing
- Practical spark usecases
- When NOT to use Spark
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4
1.1.2 — Setting up your first Spark notebook with Databricks Free Edition
- Databricks Interface
- Notebook & Folders
- Create Items
- Read first dataset
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5
1.1.3 — DataFrames & Schemas
- DataFrame structure
- Schema inspection
- Select/filter
- First transformation
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6
Let's check your knowledge
SPARK 02 — Reading, Writing & Data Types
SPARK 03 — Data Cleaning & Transformation
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10
1.3.1 — Cleaning Columns
- Creating Medallion Architecture
- Creating Volume in Bronze Layer
- Reading & Loading Data to Bronze Layer
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11
1.3.2 — Business Transformations
- Rename/select/drop
- Nulls
- Duplicates
- withColumn
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12
1.3.3 — Build Silver Dataset
- when/otherwise
- String and date functions
- Validate records
- Write Silver Delta table
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13
SPARK 03 Knowledge Check
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Course details
Lectures
14
Quizzes
2
Level
Beginner
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