About the Course

Embark on a transformative journey into the realm of data engineering with our comprehensive course. Dive deep into the core concepts, tools, and technologies essential for a successful career in data engineering. Gain practical skills and insights that will set you apart in the competitive job market. Take the first step towards becoming a skilled data engineer today!

Course Curriculum

13 Chapters · 70 Lessons

  1. 1

    Python for Data Engineering

    1. (Included in full purchase)

      Overview of Data Ecosystem

    2. (Included in full purchase)

      Introduction to Python & IDE Setup

    3. (Included in full purchase)

      Data Types, Control Structures, and Functions

    4. (Included in full purchase)

      Working with Files and Directories

    5. (Included in full purchase)

      Data Manipulation with Pandas

    6. (Included in full purchase)

      Automation Scripts for Data Tasks

  2. 2

    SQL and Relational Databases

    1. (Included in full purchase)

      Choosing Storage Solutions

    2. (Included in full purchase)

      Introduction to SQL & Relational Concepts

    3. (Included in full purchase)

      SELECT, JOINs, Aggregations, Subqueries

    4. (Included in full purchase)

      Schema Design & Normalization

    5. (Included in full purchase)

      Indexing & Query Optimization

    6. (Included in full purchase)

      Working with PostgreSQL and MySQL

  3. 3

    Data Modeling & Warehousing

    1. (Included in full purchase)

      Data Integration Strategies

    2. (Included in full purchase)

      Dimensional Modeling: Star & Snowflake

    3. (Included in full purchase)

      Fact and Dimension Tables

    4. (Included in full purchase)

      OLAP vs OLTP

    5. (Included in full purchase)

      Warehouse Tools: Snowflake, BigQuery

    6. (Included in full purchase)

      Modeling with dbt

  4. 4

    ETL and ELT Pipelines

    1. (Included in full purchase)

      Data Governance Best Practices

    2. (Included in full purchase)

      ETL vs ELT Explained

    3. (Included in full purchase)

      Extracting Data from APIs and Files

    4. (Included in full purchase)

      Transforming with Pandas and SQL

    5. (Included in full purchase)

      Loading into Databases

    6. (Included in full purchase)

      Building DAGs with Airflow

  5. 5

    Data Lakes & File Formats

    1. (Included in full purchase)

      Preparing for a Data Engineering Career

    2. (Included in full purchase)

      Introduction to Data Lakes

    3. (Included in full purchase)

      File Formats: CSV, JSON, Parquet, Avro

    4. (Included in full purchase)

      Partitioning & Compression

    5. (Included in full purchase)

      Delta Lake & Apache Iceberg

    6. (Included in full purchase)

      Lakehouse Design Patterns

  6. 6

    Distributed Data with Spark

    1. (Included in full purchase)

      Big Data Concepts & Spark Architecture

    2. (Included in full purchase)

      DataFrames and RDDs

    3. (Included in full purchase)

      Spark SQL and Aggregations

    4. (Included in full purchase)

      Spark Jobs on AWS EMR / Databricks

    5. (Included in full purchase)

      Performance Tuning

  7. 7

    Real-Time Data & Streaming

    1. (Included in full purchase)

      Event-Driven Architecture

    2. (Included in full purchase)

      Kafka Fundamentals

    3. (Included in full purchase)

      Stream Processing with Spark Streaming

    4. (Included in full purchase)

      Apache Flink Basics

    5. (Included in full purchase)

      Real-Time Dashboards with Kafka + Druid

  8. 8

    Cloud Data Engineering

    1. (Included in full purchase)

      AWS for Data Engineers: S3, Glue, Redshift

    2. (Included in full purchase)

      GCP Tools: BigQuery, Dataflow, Composer

    3. (Included in full purchase)

      Azure Stack: Data Factory, Synapse

    4. (Included in full purchase)

      IAM, Storage Classes, Cost Optimization

    5. (Included in full purchase)

      Cloud Deployment Patterns

  9. 9

    Workflow Orchestration

    1. (Included in full purchase)

      Introduction to DAGs & Orchestration

    2. (Included in full purchase)

      Airflow Fundamentals

    3. (Included in full purchase)

      Sensors, Triggers, and Scheduling

    4. (Included in full purchase)

      Prefect and Dagster Overview

    5. (Included in full purchase)

      Monitoring and Logging Workflows

  10. 10

    Data Quality & Governance

    1. (Included in full purchase)

      What is Data Quality?

    2. (Included in full purchase)

      Validations with Great Expectations

    3. (Included in full purchase)

      Schema Evolution & Drift Detection

    4. (Included in full purchase)

      Data Catalogs (e.g., Amundsen)

    5. (Included in full purchase)

      Lineage Tracking with OpenMetadata

  11. 11

    DevOps & CI/CD for Data

    1. (Included in full purchase)

      Git & Branching Strategy

    2. (Included in full purchase)

      Docker for Data Engineering

    3. (Included in full purchase)

      CI/CD with GitHub Actions

    4. (Included in full purchase)

      Terraform for Infrastructure

    5. (Included in full purchase)

      Deploying Airflow with Docker

  12. 12

    Data Security & Compliance

    1. (Included in full purchase)

      Role-Based Access Control (RBAC)

    2. (Included in full purchase)

      Encryption at Rest and in Transit

    3. (Included in full purchase)

      Managing Secrets and Tokens

    4. (Included in full purchase)

      GDPR & HIPAA in Practice

    5. (Included in full purchase)

      Secure Data Pipeline Patterns

  13. 13

    Capstone Projects

    1. (Included in full purchase)

      Build a Batch ETL Pipeline with Airflow & dbt

    2. (Included in full purchase)

      Real-Time Analytics with Kafka and Spark

    3. (Included in full purchase)

      Data Lake to Warehouse Architecture

    4. (Included in full purchase)

      End-to-End Pipeline with Monitoring

    5. (Included in full purchase)

      Final Presentation & Code Review