5 Best Databricks Courses For Beginners in 2024
Imagine having the ability to transform raw data into actionable insights, unlocking the potential for groundbreaking discoveries, smarter decision-making, and enhanced business strategies. If you're ready to embark on a journey into this exciting realm, you're in the right place. Databricks, a unified data analytics platform, has gained significant popularity for its ability to simplify data processing, machine learning, and collaborative work.
Welcome to our guide on the "Best Databricks Courses for Beginners." In this blog, we're about to unveil a world of data magic, where you'll learn how to leverage the incredible power of Databricks – a cutting-edge platform for data analytics and machine learning.
Whether you're an aspiring data scientist, a tech enthusiast, or a professional looking to upskill, these courses will be your gateway to understanding Databricks and setting out on a path of data-driven excellence. Get ready to dive into the captivating universe of data with us.
Top Databricks Courses List
- Azure Databricks & Spark For Data Engineers (PySpark / SQL)
- Data Science with Databricks for Data Analysts Specialization
- Databricks Fundamentals & Apache Spark Core
- Azure Databricks and Spark SQL (Python)
- Databricks Essentials for Spark Developers (Azure and AWS)
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1. Azure Databricks & Spark For Data Engineers (PySpark / SQL)
In this Azure Databricks course, you will dive headfirst into the dynamic world of big data and data engineering. Whether you're an aspiring data engineer, developer, or IT professional, this course is your key to mastering Azure Databricks and Spark Core.
In this Databricks course, you will learn the following:
- How to build a real-world data project using Azure Databricks and Spark Core. This course has been taught using real-world data.
- Acquire professional-level data engineering skills in Azure Databricks, Delta Lake, Spark Core, Azure Data Lake Gen2, and Azure Data Factory (ADF).
- How to create notebooks, dashboards, clusters, cluster pools, and jobs in Azure Databricks.
- How to ingest and transform data using PySpark in Azure Databricks.
- How to transform and analyze data using Spark SQL in Azure Databricks.
- Learn about Data Lake architecture and Lakehouse Architecture. Also, you will learn how to implement a Lakehouse architecture using Delta Lake.
- How to create Azure Data Factory pipelines to execute Databricks notebooks.
- How to create Azure Data Factory triggers to schedule pipelines as well as monitor them.
- Gain the skills required around Azure Databricks and Data Factory to pass the Azure Data Engineer Associate certification exam DP203.
- How to connect to Azure Databricks from PowerBI to create reports.
- Gain a comprehensive understanding of Unity Catalog and the data governance capabilities offered by Unity Catalog.
- Learn to implement a data governance solution using Unity Catalog-enabled Databricks workspace.
You'll start with the fundamentals, understanding the concepts and architecture behind these powerful tools. As you progress, you'll learn to process and transform data efficiently, create data pipelines, and harness the full potential of Azure Databricks. With a hands-on approach, you'll gain practical experience in handling real-world data engineering tasks.
By the end of this course, you'll have the knowledge and skills to confidently work with Azure Databricks and Spark Core, making you an invaluable asset in the world of data.
- Course rating: 4.7 out of 5.0 (11,663 Rating total)
- Duration: 9 Hours
- Certificate: Certificate of completion
2. Data Science with Databricks for Data Analysts Specialization
This specialization is a treasure trove of knowledge for those seeking to harness the power of Databricks in the realm of data analysis. Aspiring data analysts and professionals looking to expand their skill set will delve into the foundations of data science, data engineering, and Databricks' essential tools.
In this Databricks course, you will learn the following:
- Discover how Databricks and Apache Spark simplify big data processing and optimize data analysis.
- Frame business problems for data science and machine learning to make the most out of big data analytic workflows.
- Solve real-world business problems quickly using Databricks to power the most popular data science techniques.
With a series of hands-on projects and real-world scenarios, you'll learn to extract, transform, and visualize data efficiently. Gain the expertise to work with data at scale, analyze complex datasets, and develop actionable insights.
By completing this specialization, you'll be well-equipped to tackle data analysis challenges and open the door to exciting opportunities in the data science world. If you're ready to step into the realm of data analysis using Databricks, this specialization will guide you through every step of the journey.
- Course rating: 4.5 out of 5.0 (423 Rating total)
- Duration: 1 month (10h/week)
- Certificate: Certificate of completion
3. Databricks Fundamentals & Apache Spark Core
Learn how to process big data using Databricks & Apache Spark 2.4 and 3.0.0 - DataFrame API and Spark SQL.
In this Databricks course, you will learn the following:
- Databricks
- Apache Spark Architecture
- Apache Spark DataFrame API
- Apache Spark SQL
- Selecting, and manipulating columns of a DataFrame
- Filtering, dropping, and sorting rows of a DataFrame
- Joining, reading, writing, and partitioning DataFrames
- Aggregating DataFrames rows
- Working with User Defined Functions
- Use the DataFrameWriter API
This course is your gateway to mastering the world of big data analytics and processing with Apache Spark using the powerful Databricks platform. Whether you're a data professional, developer, or someone eager to dive into the vast sea of data analysis, this course provides you with a strong foundation.
You'll explore the core concepts of Apache Spark, understand how to set up a Databricks environment and get hands-on experience with Spark Core, the heart of Spark's processing capabilities. Prepare to supercharge your data processing skills and unlock new opportunities in the world of big data with this comprehensive Databricks and Apache Spark course.
- Course rating: 4.5 out of 5.0 (1,907 Rating total)
- Duration: 12 Hours
- Certificate: Certificate of completion
4. Azure Databricks and Spark SQL (Python)
In this course, you'll embark on a journey to become a proficient data professional with a strong foundation in data analysis and processing using Azure Databricks and Spark SQL. This course empowers you with the knowledge and skills to navigate the world of big data.
In this Databricks course, you will learn the following:
- Azure Databricks
- Data Lakehouse
- Delta Lake
- Spark SQL
- PySpark
- Big Data
- Real World Scenarios
- CI/CD on Databricks
- Source Control with Databricks Repos
You'll explore essential topics such as data manipulation, querying, and visualization, all while working with the power of Apache Spark and the versatility of Python. By the end of this course, you'll have the confidence to utilize Azure Databricks and Spark SQL for your data projects, turning raw data into meaningful insights.
- Course rating: 4.6 out of 5.0 (1,032 Rating total)
- Duration: 12.5 Hours
- Certificate: Certificate of completion
5. Databricks Essentials for Spark Developers (Azure and AWS)
This Databricks course is your gateway to mastering the fundamental skills needed to work with Apache Spark using Databricks on both Azure and AWS cloud platforms. Whether you're a budding data engineer or an experienced developer looking to enhance your knowledge, this course offers an essential foundation in working with big data.
In this Databricks course, you will learn the following:
- Using Community Edition of Databricks to explore the platform.
- Signing up for Full Trial using Azure Databricks.
- Signing up for Full Trial using Databricks on AWS.
- Develop and Deploy Notebooks using Scala, Python as well and SQL using the Databricks Platform.
- Understand the difference between interactive and job clusters.
- Formal Development and Deployment Life Cycle.
- Run jobs by attaching applications as jar along with libraries.
- Overview of Cluster Pools.
- Installing and using databricks-cli.
You'll delve into core concepts like data processing, data transformation, and data analysis, all within the Databricks environment. As a result of this course, you will gain the expertise to deal with real-world challenges in big data engineering.
- Course rating: 4.1 out of 5.0 (949 Rating total)
- Duration: 4 Hours
- Certificate: Certificate of completion
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