The Exeliq’s offers many self-paced and instructor-led training courses, from Apache Spark basics to courses that focus on specific task categories such as ETL for data engineers and machine learning for data scientists. Databricks’ mission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Founded by the team who created Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products.
Databricks - Exeliq
Why Exeliq Databricks
Experienced Teachers
Learn from The Exeliq’s experienced data science instructors who are dedicated to teaching data analytics.
Jumpstart your Career
Learn the most sought-after tools and techniques in the industry to help jumpstart your data analyst career.
Working as Professionals
This course was designed for the busy lives of working professionals with a part-time schedule and recorded lectures.
Build a Series of Miniprojects
Gain hands-on experience applying the tools employers value to real-world data sets. All powered by a 100-node cluster.
Live Lectures
Live lectures allow you to ask your instructor questions and interact with your classmates. Registered students can find their demo live lectures.
Small Class Sizes
Small class sizes ensure you have plenty of access to your instructor and can receive personalized feedback on your progress.
Prerequisites
- Intermediate Python and Spark/Scala
- Azure/AWS (S3, Redshift, Azure Blob Storage, Azure Data Lake Storage, Azure SQL Data warehouse)
- Hadoop/Hive
Target Audience
This class is for you if:
- Programmers, Developers, Technical Leads, Architects
- Developers/Business Analysts aspiring to be a ‘Machine Learning Engineer’
- Data Scientists/Data Analysts who want to gain expertise in Predictive Analytics
- ‘Python’ professionals who want to design automatic predictive models
Syllabus
Databricks Login
1: Sign up Databricks
2: Select a subscription type
3: Add security features (Optional)
Databricks Implementation
1. Create a Clusters
2. Create a Workspace
3. Create Notebooks – Scala, Python, R, SQL
4. Visualizations
5. Accessing Data
6. Databases and Tables
7. Libraries
8. Create Jobs
9. Developer Tools
10. Databricks File System – DBFS
11. Business Intelligence Tools
Databricks Configuration
1. Configure the Cluster
2. Spark related configugration
3. Cluster Scale – Horizantally
Security - Manage Access Control
1. Workspace Access Control
2. Cluster Access Control
3. Jobs Access Control
4. Table Access Control
5. Enable Token-based Authentication
Learning Outcomes
Upon completion of this course, you will be able to:
- Learn how to use Databricks for Python/Spark/R/Spark-SQL development
- Setup job for Notebook, Setup Spark cluster
- Setup BI Tool with Databricks
- Intergrate CMD CLI with Databricks
- Use Databrick Rest API
- Use Databrick for Data Visulazation
- Learn how to use the Databricks for ML/GraphX/Predictive models
Testimonials
The data science skills I sharpened at The Data Incubator helped me analyze diversity in STEM education, model SaaS stock prices, and compare industry growth rates.
Christian Templeton, Google
From day one I was getting my hands dirty working with data using industry-relevant tools. Having completed the program I’m now better equipped to manage engineering and product teams.
Michelle Miller, Hack Reactor
Their heavy focus on applied learning meant that I was working on real data and solving real problems right from the start.
David Kwon, Yelp
A few of our 250+ Hiring
and Training Partners
Frequently Asked Questions
Who is this course designed for?
This course is designed for anyone who would like to learn the essentials of data science. Students will gain hands-on experience working with some of the most in-demand big data technologies and leave ready to kickstart their data science careers.
When is the next session? How can I join?
You can find the dates of upcoming sessions and register via The Exeliq’s Eventbrite page.
What is the approximate time commitment for this course?
Our Foundations course includes four hours of lectures each week. You’ll also want to allot extra time for reviewing lectures and working on the associated projects; we generally recommend setting aside at least four additional hours per week for this, but it’s up to you how much time you’d like to put in.
Does this class offer job search support?
As Foundations is intended to add a set of skills for students who are currently employed full time, we do not offer placement or job search support for this course.