Databricks Data Analyst Certification Training in Gurgaon
Master Databricks Cloud and get prepared for Databricks official certifications with our role based courses tailored to your specific needs
- Enroll for Architecture, Data Engineering, Developer, Analyst, ML/ AI, Operations, and Governance Certifications
- Experience blended learning through interactive offline and online sessions.
- Job Assured Course
- Course Duration - 2 months
- Get Trained from Industry Experts
Train using realtime course materials using online portals & trainer experience to get a personalized teaching experience.
Active interaction in sessions guided by leading professionals from the industry
Gain professionals insights through leading industry experts across domains
Enhance your career with 42+ in-demand skills and 20+ services
Databricks Data Analyst Certification Overview
This Databricks live-learning courses cover deep into designing, developing, deploying, and managing scalable solutions and infrastructure across Databricks platforms, equipping you for success in today’s fast-evolving technology landscape
- Benefit from ongoing access to all self-paced videos and archived session recordings
- Success Aimers supports you in gaining visibility among leading employers
- Get prepared for 5+ Databricks official certifications with our role based courses tailored to your specific needs
- Engage with real-world capstone projects
- Engage in live virtual classes led by industry experts, complemented by hands-on projects
- Job interview rehearsal sessions
Familiarity with building Data Pipelines, Delta Lake, Unity Catalog, Databricks SQL and Lakehouse fundamentals and building data pipelines for business insights.
Evaluates candidate proficiency with the Databricks Data Intelligence Platform, focusing on Unity Catalog for discovering, querying, cleaning, and managing certified datasets, plus data import via UI, S3 ingestion, Delta Sharing, API-driven intake, Auto Loader, and Marketplace. Assesses query execution and optimization for data analysis, including creating views, aggregate operations, table joins, filtering, sorting, and query analysis using auditing, history, logs, and Liquid clustering.
Covers fundamentals of Dashboards and Visualizations, developing/sharing/maintaining AI/BI Genie spaces, and data modeling with Databricks SQL. Includes securing data through best practices for storage and management.
What is Databricks Data Analyst?
Databricks Certified Data Analyst are essential to drive key business insights from the data using Databricks SQL to generate reporting dashboards for business stakeholders driving Data Insights in Data development and testing. It manages the full Data lifecycle—deploying reporting apps, building and maintaining Data pipelines for reporting applications to drive business processes.
The role of Databricks Data Analyst?
Databricks Certified Data Analyst in Data development and testing oversees the end-to-end Data lifecycle to drive business insights using Key performance indicators (KPI’s) . Key responsibilities include:
Exploring Emerging Reporting Technologies: Leveraging Cloud technologies, Cloud Dashboards, and Reporting techniques to enhance reporting efficiency and streamline ETL workflows.
Scalable Data, Reporting & AI Development: Designing and implementing Reporting applications that address critical business needs.
Seamless Dashboard Deployment: Coordinating Dashboard deployment with infrastructure management for smooth delivery of ETL dashboards.
ETL Workflow Optimization: Creating, analyzing, and refining automation scripts and deployment ETL workflows to maximize productivity.
For professionals aspiring to excel in this field, the Success Aimers Databricks Certified Data Analysts Course provides hands-on training to master these skills. The program equips you to confidently manage Data deployment lifecycles, Data deployment pipelines, automation, and Data deployment processes, positioning you as a high-impact Databricks Certified Data Analysts engineer in Data development and testing.”**
Who should take this Databricks Certified Data Analyst course?
The Databricks Certified Data Analysts Course is tailored for Data professionals aiming to accelerate their careers in Cloud, data, and technology-driven sectors. It is particularly valuable for roles including:
Cloud Team Leaders
Databricks Analysts and Developers
Databricks Cloud Engineers and IT Managers
Databricks Cloud & Infrastructure Engineers
Databricks Cloud Researchers and Data Engineers
This program equips participants with the skills to lead Data & ETL initiatives, implement advanced Data workflows, and drive innovation in Data development and testing.
What are the prerequisites of Databricks Certified Data Analyst Course?
Prerequisites for the Databricks Certified Data Analyst Certification Course”
To ensure a seamless learning experience, candidates are expected to have:
Educational Background: An undergraduate degree or high school diploma in a relevant field.
Technical Foundation: Knowledge of IT, software development, or data science fundamentals.
Programming Skills: Basic proficiency in languages such as Python or JavaScript.
Cloud Familiarity: Experience with cloud platforms like AWS or Microsoft Azure.
Meeting these prerequisites enables learners to effectively grasp advanced Cloud concepts, including Data tool, Data pipeline workflows, Data Apps deployment, and automation throughout the course.
Kind of Job Placement/Offers after Databricks Analyst Certification Course?
- Databricks Certified Cloud Engineer
- SRE Reliability Engineer
- Databricks Cloud Solutions Release Manager
- Infrastructure/Cloud Automation Engineer
- Databricks Cloud Engineer / Databricks Cloud Architect
- Databricks Cloud Infrastructure Engineer
- Databricks Cloud Deployment Engineer
| Training Options | Weekdays (Mon-Fri) | Weekends (Sat-Sun) | Fast Track |
|---|---|---|---|
| Duration of Course | 2 months | 3 months | 15 days |
| Hours / day | 1-2 hours | 2-3 hours | 5 hours |
| Mode of Training | Offline / Online | Offline / Online | Offline / Online |
Databricks Data Analyst Course Overview
This Databricks Certified Databricks SQL for Data Analysts training enhances your career after choosing the relevant certification path based on the roles. You can practice with hands-on labs and capstone projects and gain proficiency with Databricks tools. After completion of the course, you can leverage Job assistance services and enhance career prospects
Data Analytics
Databricks Certified Data Analyst Associate Course
SetUp and Overview of Databricks
- Introduction to Big Data (Optional)
- Apache Spark Ecosystem (Optional)
- Overview of Databricks
- Azure Account Set Up
- Azure Portal Overview
- Cost Management and Billing
- Important Databricks Access Issue: Solution for Azure Personal Domains
- Creating a Databricks Premium Workspace
- Databricks Workspace User Interface
- Unity Catalog Overview
- Enabling Unity Catalog - Overview
- ADLS Overview and Storage Creation
- Access Connector for Databricks
- Global Administrator Pre-requisite Check
- Enabling Unity Catalog
- Creating a SQL Warehouse
Introduction to Databricks Lakehouse Platform
- Data Lakehouse Overview
- Introduction to Medallion Architecture
- Databricks Overview
- Creating Azure Databricks Service
- Databricks User Interface Overview
- Switching Catalogs and Schemas
- Scheduling Queries
Databricks Workspace Components
- Databricks Architecture Overview
- Introduction to Databricks Compute
- Databricks Cluster Configuration
- Create Databricks Cluster
- Troubleshooting Databricks Cluster Quota and VM Issues
- Databricks Notebooks
- Databricks Magic Commands
- Databricks Utilities
- Databricks Git Folders (Repos)
Catalogs, Schemas, Tables and Views
- Creating Catalogs
- Creating Schemas
- Data Types in Databricks SQL
- Overview of Tables in Databricks
- Creating Managed Tables with SQL
- Creating Managed Tables in Hive Metastore
- Creating Managed Tables using the Data Explorer
- Creating an External Storage Location
- Creating External Tables
- Overriding Unity Catalog’s Default Managed Table Storage Location
- Truncate Table
- Alter Table
- Drop Tables, Schemas and Catalogs
Data Analysis with SQL
- Select Statement Recap
- Select Distinct
- Note on the JC_BIKE_DATA_22 Table
- Filtering Records with the WHERE Clause
- Filtering Records Based on Multiple Conditions
- Filtering Records with the IN and LIKE Operators
- Deleting Records
- Databricks SQL Built In Functions Overview
- String Functions
- Numerical Functions
- Date and Timestamp Functions
- Converting Strings to Dates/Timestamps
- Conditional Functions
- Aggregate Functions
- Group By Clause
- Filtering Aggregated Tables with the Having Clause
- Joining Tables Overview
- Order By and Limit Clauses
- SQL Order of Execution
- Subqueries
- Views
- Set Operators
- SQL Challenge 1
- SQL Challenge 2
Delta Lake
- Medallion Architecture and Last Mile ETL
- Medallion Architecture Demo
- Benefits of Delta File Format
- Upsert / Merge Into
- Table Audit History and Time Travel
Query Alerts and Monitoring
- Query History and Profile
- Query Caching in Databricks SQL
- Query Alerts
Visualizations and Dashboards in Databricks SQL
- Visualizations and Dashboards Overview
- Our First Chart in Databricks SQL
- Line and Area Charts
- Combo Chart
- Pie Chart
- Scatter and Bubble Plots
- Histograms
- Box Plots
- Heatmaps
- Sankey Charts
- Tables
- Pivot Tables
- Counters
- Additional Guidance on Charts in Databricks SQL
- Exploratory Data Analysis Challenge
- Adding Missing Data to the JC_BIKE_DATA_22 Table
- Creating a View to Simplify Upcoming Demos
- Query Filters
- Query Parameters
- Query Parameters (Dates)
- Dashboards in Databricks
- Introduction to Dashboards
- Creating a Dataset Using SQL
- Adding Parameters to Dashboards
- Adding Filters to Dashboards
- Text Boxes
- Seasonal Analysis by Rider Type Challenge
- Legacy Dashboards
- Legacy - Introduction to Dashboards
- Legacy - Adding Parameters to Dashboards
- Legacy - Adding Filters to Dashboards
- Legacy - Trip Duration Analysis Challenge
- Legacy - Rider Type Analysis Challenge
Access Control, Data Governance and Unity Catalog
- Administrative Roles in Databricks
- Adding a New User to our Azure Account
- Adding a New User to our Databricks Environment
- Workspace Admin Settings
- Workspace Object Access Control
- SQL Warehouse Access Control
- Folder Access Control
- Query Access Control
- Dashboard Access Control
- Workspace Object Access Control - Summary
- Unity Catalog Securable Objects and Privileges
- Granting and Revoking Privileges with SQL (Unity Catalog)
- Granting and Revoking Privileges via the Data Explorer (Unity Catalog)
- Redacting Data with Dynamic Views (PII)
- Data Discovery
- Data Lineage
- Delta Sharing Overview
- Databricks to Databricks Delta Sharing
- Open Delta Sharing
Hours of content
Live Sessions
Software Tools
After completion of this training program you will be able to launch your carrer in the world of AI being certified as Databricks Certified Databricks SQL for Data Analysts Certification Course.
With the Databricks Certified Databricks SQL for Data Analysts Certification Course in-hand you can boost your profile on Linked, Meta, Twitter & other platform to boost your visibility
- Get your certificate upon successful completion of the course.
- Certificates for each course
- Azure BLOB Storage
- Databricks SQL
- Azure Databricks
- Azure SQL Server
- Azure Functions
- Azure App Services
- Databricks Data Analysis
- Azure Document DB
- Azure Fabric
- Azure Kubernetes Service (AKS)
- Azure Container Registry (ACR)
- API Management
- Azure Search
- Azure Moniter
35% - 50%
Designed to provide guidance on current interview practices, personality development, soft skills enhancement, and HR-related questions
Receive expert assistance from our placement team to craft your resume and optimize your Job Profile. Learn effective strategies to capture the attention of HR professionals and maximize your chances of getting shortlisted.
Engage in mock interview sessions led by our industry experts to receive continuous, detailed feedback along with a customized improvement plan. Our dedicated support will help refine your skills until your desired job in the industry.
Join interactive sessions with industry professionals to understand the key skills companies seek. Practice solving interview question worksheets designed to improve your readiness and boost your chances of success in interviews
Build meaningful relationships with key decision-makers and open doors to exciting job prospects in Product and Service based partner
Your path to job placement starts immediately after you finish the course with guaranteed interview calls
Why should you choose to pursue a Databricks Certified Data Analyst Course with Success Aimers?
Success Aimers teaching strategy follow a methodology where in we believe in realtime job scenarios that covers industry use-cases & this will help in building the carrer in the field of Databricks & also delivers training with help of leading industry experts that helps students to confidently answers questions confidently & excel projects as well while working in a real-world
What is the time frame to become competent as a Databricks Data Analyst?
To become a successful Databricks Data Analyst required 1-2 years of consistent learning with dedicated 3-4 hours on daily basis. But with Success Aimers with the help of leading industry experts & specialized trainers you able to achieve that degree of mastery in 6 months or one year or so and it’s because our curriculum & labs we had formed with hands-on projects.
Will skipping a session prevent me from completing the course?
Missing a live session doesn’t impact your training because we have the live recorded session that’s students can refer later.
What industries lead in Databricks implementation?
Manufacturing
Financial Services
Healthcare
E-commerce
Telecommunications
BFSI (Banking, Finance & Insurance)
“Travel Industry
Does Success Aimers offer corporate training solutions?
At Success Aimers, we have tied up with 500 + Corporate Partners to support their talent development through online training. Our corporate training programme delivers training based on industry use-cases & focused on ever-evolving tech space.
How is the Success Aimers Databricks Certified Data Analyst Course reviewed by learners?
Our Databricks Data Analyst Course features a well-designed curriculum frameworks focused on delivering training based on industry needs & aligned on ever-changing evolving needs of today’s workforce due to Cloud Computing (Azure). Also our training curriculum has been reviewed by alumi & praises the thorough content & real along practical use-cases that we covered during the training. Our program helps working professionals to upgrade their skills & help them grow further in their roles…
Can I attend a demo session before I enroll?
Yes, we offer one-to-one discussion before the training and also schedule one demo session to have a gist of trainer teaching style & also the students have questions around training programme placements & job growth after training completion.
What batch size do you consider for the course?
On an average we keep 5-10 students in a batch to have a interactive session & this way trainer can focus on each individual instead of having a large group
Do you offer learning content as part of the program?
Students are provided with training content wherein the trainer share the Code Snippets, PPT Materials along with recordings of all the batches
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