Enrollments are open for intake 2025. Classes Start on Sunday, January 5, 2025.

Sweet Analytics
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    • About US
    • About Data Analysis
  • Courses
    • Job Ready Data Analyst
    • SAS
    • Python
    • T SQL
    • PL SQL
    • Tableau
    • Power BI
    • DataBricks
  • Apply Now
  • Meet Us
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  • More
    • Home
    • Introduction
      • About US
      • About Data Analysis
    • Courses
      • Job Ready Data Analyst
      • SAS
      • Python
      • T SQL
      • PL SQL
      • Tableau
      • Power BI
      • DataBricks
    • Apply Now
    • Meet Us
    • Contact Us
Sweet Analytics
  • Home
  • Introduction
    • About US
    • About Data Analysis
  • Courses
    • Job Ready Data Analyst
    • SAS
    • Python
    • T SQL
    • PL SQL
    • Tableau
    • Power BI
    • DataBricks
  • Apply Now
  • Meet Us
  • Contact Us

Learn Data Analysis

Job Ready Data Analyst

Job Ready Data Analyst is a blended 8-month-long custom-designed course to prepare you as Data Analyst in the real-world job market. The course covers the following areas:

 

T-SQL Programming and Analysis

1.  Introduction to SQL

2. Data Definition Language (DDL)

3. Data Manipulation Language (DML)

4. T-SQL Functions

5. Joins and Sub queries

6. Stored Procedures 

7. Advanced T-SQL


Hands on SSIS
1. Introduction to SSIS

2. Export

3. Import


Comprehensive SAS programming and Analytics

1. Introduction to SAS

2. SAS Environment

3. Basic Concepts

4. SAS Data Step

5. SAS Proc Step

6. SAS SQL

7. Data Transformation

8. SAS Macro

9. Advanced SAS Programming Techniques

10.  Data Analysis

11. Best practices in SAS programming



Tableau Basics

1. Introduction to Tableau

2. Data Sources

3. Visualization


Power BI Basics
1. Introduction to Power BI

2. Data Sources

3.  Visualization


Databricks Basics
1. Introduction to Databricks

2. SQL in Databircks

3.  SQL and Dataframe (Py-Spark)


Resume building and job search

Interview preparation and placement assistance


Enrollments for Intake 2026 is Opened.

Applications are accepted through December 26, 2025. 

Classes start on Sunday, January 4, 2025.


Fee and payment

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

Special Offer – Limited Time Only:

  • Use coupon code HOLIDAYS800 to get an $800 discount, reducing your monthly rate to just $250!
  • Even Bigger Savings: Make a full payment of $1,600 upfront and save a total of $1,200 compared to the regular fee!


  • Course Duration: 8 Months
  • Regular Regular Fee: $2,800 ($350/month)


How It Works:

  1. Apply to the course using the link at the bottom for 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! 🎓

Intake 2025

We were fully booked, and classes are running

Intake 2024

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

Intake 2023

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

Mode and frequency of the class

Mode of class: Online

Frequency: Weekly

Day: Sunday

Time 7:30 am to 9:30 am PST

FAQs

**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.

Apply Now

Click Here to Apply

100% Online

Sunday

Online Class

07:30 09:30 AM PST

online

Event Details

Sunday

Online Class

Join our class from anywhere in the world.

07:30 09:30 AM PST

online


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