Duration: 9 Months
Mode: Blended (Live + Recorded + Hands-On Projects)
Goal: Prepare participants to become industry-ready Data Analysts proficient in SQL, SAS, Power BI, Tableau, SSIS, and Databricks (PySpark).

Master SQL to extract, manipulate, and analyze structured data efficiently.

· Introduction to SQL & Relational Databases

· Data Definition Language (DDL)

· Data Manipulation Language (DML)

· T-SQL Functions (String, Date, Numeric, Conversion)

· Joins and Subqueries

· Advanced T-SQL (Window Functions, CTEs, Dynamic SQL, Pivot/Unpivot)

· Stored Procedures and SQL jobs

Design and automate end-to-end data pipelines using Microsoft SSIS.

· Introduction to SSIS Architecture

· Control Flow vs Data Flow

· Importing and Exporting Data (Flat File, Excel, Database)

· Data Transformations (Derived Columns, Lookups, Conditional Splits)

· Variables, Parameters, and Expressions

· Error Handling and Logging

· Deployment and Scheduling Packages

Learn SAS programming from data basics to system automation through a structured six-track curriculum.

· Data Basics: Reading, Writing, Subsetting, and Transformations

· Conditional Processing, Grouping, and Iterative Logic

· Data Summarization and Reporting Procedures

· Macro Programming and Dynamic Automation

· ODS Reporting and File Exchange (Excel, PDF, CSV, etc.)

· System Integration, Logging, Email Alerts, and Best Practices

Transform raw data into insightful interactive reports.

· Introduction to Power BI Desktop and Service

· Connecting to Data 

· Data Modeling and Relationships

· DAX Functions and Calculated Measures

· Visualization Best Practices and Report Publishing

Build interactive visualizations to tell compelling data stories.

· Introduction to Tableau Interface

· Connecting to Data Sources 

· Creating Charts 

· Parameters, Filters, and Calculated Fields

· Dashboard Design and Storytelling Principles

Develop and automate large-scale data analytics on the Databricks Lakehouse Platform.

· Introduction to Databricks

· Working with Data in Databricks 

· SQL in Databricks 

· PySpark DataFrame Programming 

· Advanced PySpark Operations 

· Delta Lake and ETL Automation

Resume building and job search

Interview preparation and placement assistance

Applications are accepted through December 25, 2025. 

Classes start on Sunday, January 4, 2026.

Transform Your Career with Data Analytics – Affordable and Flexible Pricing!

Special Offer – Limited Time Only:

• *Use coupon code HOLIDAYS to get a $450 discount, reducing your monthly rate to just $250! ***Valid until 11/30/2025***
• Even Bigger Savings: Make a full payment of $1,800 upfront and save a total of $900 compared to the regular fee!
• Special discounted fee for High School Students. Use the Coupon Code HighSchool, and you will receive details in your email.

• Course Duration: 9 Months
• Regular Fee: $2,700 ($300/month)

How It Works:

1. Apply to the course using the link at the bottom of the course.
2. Payment links and details will be sent to your email upon registration.

Don’t miss this chance to invest in your future at a fraction of the cost! 🎓

We were fully booked, and classes ended on Sunday, October 27, 2025

We were fully booked, and classes ended on Sunday, October 27, 2024

We were fully booked, and classes ended on Sunday, February 25, 2024

Mode of class: Online

Frequency: Weekly

Day: Sunday

Time 7:30 am to 9:30 am PST

**Q: Who can join?**

A: Anyone with English proficiency who wants to pursue a career in IT and data analytics.

**Q: Do I need previous IT knowledge or experience?**

A: No, previous IT knowledge or experience is not required.

**Q: Is one class per week enough?**

A: Yes, but each class will contain a lot of information, and you will need time to practice and complete homework assignments.

**Q: Can I get a job after the training?**

A: Most likely, yes. However, continued commitment to learning and practice is essential.

**Q: Is the fee refundable?**

A: No, the fee is not refundable. The payment is monthly, and you can decide whether to continue with the course each month.

**Q: How can I enroll?**

A: Fill out the form below, and you will receive additional instructions via email.

Note: Email with your questions and call back number if you have additional questions to info@sweetanalytics.us.