Data Engineering Accelerator Skill Path

Data Engineering Accelerator Skill Path

13 Modules

12 Hours 30 Minutes

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Overview

Build essential data engineering skills with this focused program covering SQL querying, Python programming, Azure cloud services, PySpark distributed processing, and Databricks platform mastery. Gain practical experience through hands-on labs and real-world projects designed to prepare you for advanced data engineering roles.

Master the tools and techniques to design, build, and optimize scalable data pipelines and analytics workflows in today’s cloud-driven world.

Skill path

1

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Scenario

Product Management GlobalMart

e-commerce

approach

data-wrangling

sql

15 Inputs

1 Hour

2

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Scenario

Product Performance Analysis at GlobalMart

e-commerce

data-wrangling

sql

6 Inputs

45 Minutes

3

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Scenario

Analyzing Sachin Tendulkar's Strike Rate

sports

data-wrangling

sql

4 Inputs

45 Minutes

4

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Scenario

Tracking Retained Orders at GlobalMart

e-commerce

data-wrangling

sql

4 Inputs

30 Minutes

5

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Scenario

GlobalMart Year-over-Year Sales Analysis by Category

e-commerce

data-wrangling

sql

3 Inputs

30 Minutes

6

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Scenario

Programming Basics

e-commerce

approach

python

14 Inputs

30 Minutes

7

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Scenario

Data Types & Data Structures in Python

e-commerce

approach

data-wrangling

python

10 Inputs

45 Minutes

8

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Masterclass

Debugging and Error Handling in Python

e-commerce

approach

data-wrangling

python

45 Minutes

9

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Scenario

Data Wrangling using Pandas

e-commerce

data-wrangling

approach

python

5 Inputs

1 Hour

10

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Scenario

Data Visualization in Python

e-commerce

data-visualization

python

11 Inputs

1 Hour

11

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Project

Serverless Data Integration and Workflow Orchestration for Data Processing on Azure

e-commerce

data-understanding

data-storage

batch-etl

cloud-management

azure

data-wrangling

1 Hour 20 Minutes

12

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Project

Working with Pyspark & it's Optimizations

e-commerce

data-wrangling

approach

databricks

spark

problem-understanding

performance-tuning

data-storage

1 Hour 10 Minutes

13

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Scenario

Implementing Medallion Architecture

e-commerce

approach

data-wrangling

batch-etl

data-quality

databricks

spark

12 Inputs

2 Hours 30 Minutes