Snowflake Data Analyst Certification Training in Gurgaon
Master Snowflake Cloud and get prepared for Snowflake official certifications with our role based courses tailored to your specific needs.
- Enroll for Snowflake Architecture, Developer, Operations, DevOps, AI / ML, and Networking 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
Snowflake Data Analyst Certification Overview
This Snowflake live-learning courses cover deep into designing, developing, deploying, and managing scalable solutions and infrastructure across Snowflake platform, 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 6+ Snowflake 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
Demonstrates proficiency in preparing and loading data, performing simple transformations for analysis, and building and troubleshooting advanced SQL queries in Snowflake. Skilled in utilizing Snowflake’s built-in functions, creating User-Defined Functions (UDFs), conducting descriptive and diagnostic data analyses, performing predictive data analysis, and preparing and presenting data to meet business requirements
What is Snowflake Data Analyst?
Snowflake Certified Data Analyst concepts are essential for driving Data innovation in software development and testing. They manage the full deployment lifecycle—deploying apps, building and maintaining pipelines for web applications and K8s workflows, and automating development and testing processes. By streamlining workflows and resolving challenges in webapp deployment on cloud, and maintenance, they help organizations deliver reliable, high-performance applications faster and more efficiently.
The role of Snowflake Cloud Data Analyst?
Snowflake Certified Data Analyst in data engineering development and testing oversees the end-to-end lifecycle of data applications, from development to deployment and system performance optimization. Key responsibilities include:
Exploring Emerging Technologies: Leveraging Cloud technologies, Cloud networking, and security techniques to enhance efficiency and streamline deployment workflows.
Scalable Data, AI & WebApps Development: Designing and implementing web applications that address critical business needs.
Seamless Deployment: Coordinating web deployment with infrastructure management for smooth delivery.
Workflow Optimization: Creating, analyzing, and refining automation scripts and deployment workflows to maximize productivity.
For professionals aspiring to excel in this field, the Success Aimers Snowflake certified Data Analyst Course provides hands-on training to master these skills. The program equips you to confidently manage deployment lifecycles, deployment pipelines, automation, and deployment processes, positioning you as a high-impact Snowflake Certified Data Analyst in Data pipeline development and testing.”**
Who should take this Snowlflake Certified Data Analyst course?
The Snowflake Certified Data Analyst course is tailored for professionals aiming to accelerate their careers in Cloud, data, and technology-driven sectors. It is particularly valuable for roles including:
Cloud Team Leaders
Software and DevOps Developers
Cloud Engineers and IT Managers
Cloud & Infrastructure Engineers
Cloud Researchers and Application Engineers
This program equips participants with the skills to lead DevOps & infrastructure initiatives, implement advanced deployment workflows, and drive innovation in Data Pipeline development and testing.
What are the prerequisites of Snowflake Certified Data Analyst Course?
Prerequisites for the Snowflake Certified Data Analyst Certification Course”
To ensure a seamless learning experience, candidates are expected to have:
Educational Background:Â An undergraduate degree or high school diploma in a relevant field.
Technical Foundation: Knowledge of IT, software development, or data science fundamentals.
Programming Skills:Â Basic proficiency in languages such as Python or JavaScript.
Cloud Familiarity:Â Experience with cloud platforms like AWS or Microsoft Azure.
Meeting these prerequisites enables learners to effectively grasp advanced Cloud concepts, including DevOps tool, Data pipeline workflows, Webapp deployment, and automation throughout the course.
Kind of Job Placement/Offers after Snowflake Certification Course?
- Snowflake Certified Data AnalystÂ
- SRE Reliability Engineer
- Cloud Solutions Release Manager
- Infrastructure/Cloud Automation Engineer
- Cloud Engineer / Cloud Architect
- Cloud Infrastructure Engineer
- Cloud Deployment Engineer
- Â
| 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 |
Snowflake Data Analyst Course Overview
This Snowflake certified Data Analyst Certification 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 Snowflake tools. After completion of the course, you can leverage Job assistance services and enhance career prospects.
Data Analytics
Snowflake Snowpro Advanced Data Analyst Course (DAA-C01)
Data Analysis with Python
- Organization, Accounts and Editions
- Numpy In Python
- Pandas-DataFrame and Series
- Data Manipulation with Pandas and NumPy
- Reading Data from Various Data Source Using Pandas
- Data Visualization with Matplotlib
- Data Visualization with Seaborn
Getting Started with Statistics
- Introduction to Statistics
- Types of Statistics
- Population and Sample Data
- Types of Sampling Techniques
- Types of Data
- Scales of Measurement of Data
Descriptive Statistics
- Data Ingestion Overview
- Measure Of Central Tendency (Mean, Median and Mode)
- Measures Of Dispersion (Range, Variance, Standard Deviation)
- Why Sample Variance is divided by n-1
- Random Variables
- Percentiles And Quartiles
- Number Summary
- Histogram And Skewness
- Covariance And Correlation
Probability Distribution Function and Types of Distribution
- Pdf, PMF, CDF
- Types OF Probability Distribution
- Bernoulli Distribution
- Binomial Distribution
- Poisson Distribution
- Normal or Gaussian Distribution
- Standard Normal Distribution
- Uniform Distribution
- Log Normal Distribution
- 10-Power Law Distribution
- 11-Pareto Distribution
- Central Limit Theorem
- Estimates
Inferential Stats and Hypothesis Testing
- Hypothesis Testing and Mechanism
- P value And Hypothesis Testing
- Z test Hypothesis Testing
- Student t Distribution
- T stats With T Test and Hypothesis Testing
- Z test vs T test
- Type1 And Type 2 Error
- Baye's Theorem
- Confidence Interval and Margin of Error
- What is Chi Square Test
- Chi Square Goodness of Fitness
- What is Anova
- Assumptions Of Anova
- Types Of Annova
- Partioning OF Annova
Feature Engineering with Python
- Introduction for Loading Data to Snowflake
- Feature Engineering-Handling Missing Data
- Feature Engineering-Handling Imbalanced Dataset
- Feature Engineering-SMOTE
- Handling Outliers with Python
- Data Encoding-Nominal/One Hot Encoding
- Label And Ordinal Encoding
- Target Guided Ordinal Encoding
Exploratory Data Analysis (EDA)
- Red Wine Dataset EDA
- EDA Flight Price Dataset
- Part 1-Data Cleaning Google Playstore Dataset
- Part 2-EDA Google Play Store Dataset
Microsoft SQL Server Basics
- SQL Select Statement
- SQL Select Distinct
- SQL Temporary Tables
- SQL Where Clause
- SQL Order By Clause
- SQL AND & OR Operator
- SQL NOT, BETWEEN & IN Operators
- SQL Insert Into
- SQL Null Operator
- SQL Update Statement
- Delete, Drop & Truncate
- SQL Comments & TOP N
- SQL MAX & Group BY
- SQL MIN Function & Group BY
- SUM, AVG, COUNT & Group BY
- Group BY Concept
- Group BY Example SQL Server
- SQL Having Clause
- SQL Where & Having Clause Difference
- Inner Join Concept
- Inner Join Example
- Left Join Concept
- Left Join Example
- Right Join Concept
- Right Join Example
- Left & Right Anti Join
- Left & Right Anti Join Example
- Full Outer Join
- Self-Join
- Union & Union All
- SQL Like Operator
- SQL Case in Select statement & Order BY Clause
- Nested CASE statement
- SQL Data Types
- SQL Create Table
- Inserting Records into All Columns of the Table
- Inserting Records into Certain Columns in a Table
- Copying Data From One Table to Another
- Sub Queries
- Not Null Constraint
- Unique Constraint
- Check Constraint
- Default Constraint
- Primary & Foreign Key Concept
- Primary Key Constraint
- Foreign Key Constraint
- SQL Order of Execution
SQL Functions
- Rank, Dense Rank & Row Number Window Functions - 1
- Rank, Dense Rank & Row Number Window Functions - 2
- Window Functions - Lead Function
- Window Functions - Lag Function
- ISNULL & Coalesce Functions
- First_Value() Window Function
- Last_Value() Window Function
Advanced SQL
- Common Table Expressions - 1
- Common Table Expressions - 2
- Recursive Common Table Expressions
- Stored Procedure in MS SQL Server
- Views in MS SQL Server
- Indexes in MS SQL Server
- Clustered Index
- Non-Clustered Index
Power BI Project 1, Sales Data Analysis (Covers Data Modeling Concepts)
- Business Requirements
- Loading Data to PBI Desktop
- Data Profiling & Data Transformations Part 1
- Data Transformations Part 2
- Primary & Foreign Key
- Cardinality
- Star Schema
- Data Model Overview
- Different Types of Filters in Filters Pane
- Top Bottom 5 Products by Sales, Quantity and Profit
- Sales Trends Over Time
- Other Requirements
- Requirement 4 DAX
- Requirement 4 Edit Interactions
- Other Remaining Requirements
- Changing Filter Behaviour for Dimension Table Slicers
Power BI Project 2, Insurance Data Analysis
- Downloading & Installing MSSQL Server
- Importing Data to MSSQL Server
- Loading Data to Power BI Desktop
- Table View & Data Profiling
- Adding Slicers & Text
- Adding New Card Visuals
- Adding a Multi Row Card & a Ribbon Chart
- Adding a Bar & a Line Chart
- Adding a Donut Chart & Matrix Visual
- Publishing the Report to Power BI Service
- Scheduling Refresh
- Drill Through Filter
- Testing Scheduled Refresh & Publishing the updated report
- Creating & Testing Roles in PBI Desktop
- Testing & Implementing RLS in Power BI Service
- Power BI Reports & Dashboards
- Sentiment Analysis Power Query
- Sentiment Analysis Adding Visuals to the Report
Power BI Project 3, UPI Transactions Data Analysis
- Loading Data into Power BI Desktop
- Data Profiling
- Size & Position of slicers
- Formatting the Slicers
- Adding a Page & Age Group Column
- Adding a Line Chart
- Adding a Matrix Visual
- Syncing Slicers & Applying Conditional Formatting
- Adding Bookmarks for Transactions
- Adding Bookmarks for Remaining Balance
- Publishing the Report to Power BI Service
Snowflake
- Creating Snowflake Free Trial Account
- Creating a SQL Worksheet
- Snowflake Architecture
- Setting up a Warehouse in Snowflake
- Signing up for an AWS Account
- Creating S3 Bucket
- Uploading Data to Amazon S3 Bucket
- Creating Roles using IAM
- Creating Integration Object
- Loading Data
- Creating Free Azure Account
- Creating Storage Account in Azure
- Creating Containers in Azure & Loading Data in Containers
- Creating Integration Object to Connect to Azure
- Creating the stage area & loading data in table in snowflake
Connecting Snowflake to Power BI & Tableau
- Connecting Snowflake to Power BI
- Connecting Snowflake to Tableau
AWS + Snowflake + Power BI Project
- Creating Amazon S3 Bucket & Loading Data into it
- Creating the Role
- Creating the Integration Object & Updating the Trust Policy
- Loading Data into Snowflake
- Transformation using Snowflake SQL
- Adding Rainfall Groups Column
- Importing Data into Power BI from Snowflake
- Adding Rainfall Analysis page in the Power BI report
- Adding Other Pages to the Power BI report
- Publishing the report to Power BI Service
AWS + Snowflake + Tableau Project
- Creating & Loading Data to S3 Bucket
- Creating the Role
- Creating the Integration Object & updating the trust policy
- Loading Data into Snowflake
- Data Understanding
- Data Transformation using Snowflake SQL
- Connecting Snowflake to Tableau
- Creating Charts for Monthly Usage Consumption
- Creating Charts for Cost Savings
- Creating the Dashboard
- Publishing the workbook to Tableau Cloud
Develop Data Reporting Dashboards using Snow SQL for Data Analysis to bring business insights.
Project Description : Ingest data from multiple data source into Data pipeline through Snowflake connectors to a raw layer automatically through the Data pipeline & generate reporting dashboards using Tableau, Power BI or any other BI tools to bring business insights. Snowflake load the data into staging location (S3, GCS Buckets) using Snowflake Copy commands scheduled using Snowflake tasks. Copy Commands triggers using Python/Glue/Airflow running at specific time intervals. Snowpipe is used for continuous data ingestion. Data will be stored in the Datawarehouse after apply the business rules and transformations using the ETL tools like Snowpark, Talend, Informatica IICS & others. After Data Modeling, Data Marts will be prepared in Snowflake derived zone to bring data in the reporting layer that integrates with BI tools (Tableau & Power BI).
Build Data Pipeline using Snowflake & bring Data insights using BI.Â
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The Data pipeline will be automated through Snowflake Cloud. IAM role for Snowflake will be setup to access data in S3 buckets. Integration object is created in Snowflake for authentication & finally data will be loaded into Snowflake Tables and finally data will be extracted from the source and track the patterns & the trends within the data using visualization dashboards using BI tools. For continuous feeds Snowpipe loads data within minutes after files are added to stage and submitted for ingestion. Snowpipe loads data from stage files in micro-batches rather than manually executing COPY statements on a schedule to load larger batches.
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 Data being certified as Snowflake Data Analyst course.
With the Snowflake Data Analyst 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
- Snow SQL
- Snowflake Cloud
- Azure Databricks
- Azure SQL Server
- Azure Functions
- Azure App Services
- Azure Logic Apps
- Azure Document DB
- Azure Fabric
- Azure Kubernetes Service (AKS)
- Azure Container Registry (ACR)
- API Management
- Azure Search
- Azure Moniter

45% - 60%

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 Snowflake 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 Snowflake & 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 Snowflake Data Analyst?
To become a successful Snowflake 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 Snowflake Data Analyst implementation?
- Manufacturing
- Financial Services
- Healthcare
- E-commerce
- Telecommunication
- BFSI (Banking, Finance & Insurance)
- Travel Industry
- Â
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 Snowflake Data Analyst Course reviewed by learners?
Our Snowflake 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 (Snowflake). 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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