Enrollments are open for Summer 2026 Intake. Classes Start on Sunday, June 7, 2026.

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

🚀 Start Your Journey Today

Comprehensive online Data Analytics training with career guidance and live classes starting April 2026.

Comprehensive Data Analytics Training Program

From Classroom to Career — Build Real Skills for Real Jobs 


This program is designed to help you transition from a beginner to a confident, job-ready Data Analyst. Over a period of 9 months, you will gain hands-on experience with the most in-demand tools and technologies used in the industry today.

The training is delivered in a blended format, combining live instructor-led sessions, recorded materials, and practical, hands-on projects to ensure you not only understand concepts but can also apply them in real-world scenarios.


🎯 Program Goal

Our goal is simple: to prepare you for real jobs.
By the end of the program, you will have strong, practical skills in:

SQL, SAS, Python, Power BI, Tableau, SSIS, and Databricks (PySpark)


💡 Why Choose This Program?

  • Learn using real-world healthcare and business datasets
     
  • Focus on hands-on, project-based learning — not just theory
     
  • Curriculum designed to match current U.S. job market needs
     
  • Get support with resume building, portfolio development, and interview preparation
     
  • Learn directly from industry professionals with real experience
     

📘 What You Will Learn

🔹 Module 1: T-SQL Programming & Data Analysis

You will build a strong foundation in SQL and learn how to work with structured data. This includes writing queries, working with joins and subqueries, and using advanced techniques like window functions and stored procedures.
Outcome: You will be able to extract, manipulate, and analyze data efficiently.


🔹 Module 2: SSIS (ETL Automation & Data Engineering)

In this module, you will learn how to design and automate data pipelines. You will work with data from multiple sources and apply transformations to prepare it for analysis.
Outcome: You will be able to build automated, production-ready ETL workflows.


🔹 Module 3: Python for Data Analytics

Starting from the basics, you will learn Python and apply it to real data problems. This includes working with data structures, handling files, and performing analysis using Pandas and visualization tools.
Outcome: You will be able to use Python for data cleaning, analysis, and automation.


🔹 Module 4: SAS Programming

This module focuses on SAS, a key tool in healthcare analytics. You will learn how to process data, apply business logic, and generate reports using real datasets.
Outcome: You will gain hands-on experience working with healthcare data such as claims and risk adjustment.


🔹 Module 5: Power BI for Business Intelligence

You will learn how to turn data into interactive dashboards that provide clear business insights. This includes data modeling, DAX calculations, and report publishing.
Outcome: You will be able to build professional, executive-level dashboards.


🔹 Module 6: Data Visualization with Tableau

In this module, you will learn how to create visualizations that tell a story. You will work with charts, filters, and dashboards to present data effectively.
Outcome: You will be able to design impactful, presentation-ready visualizations.


🔹 Module 7: Databricks & PySpark (Big Data & Cloud Analytics)

You will gain experience with modern cloud-based tools used for large-scale data processing. This includes working with Databricks, SQL, and PySpark for handling big data.
Outcome: You will be able to analyze large datasets using industry-standard cloud technologies.


🔹 Module 8: Real-World Analytics & Capstone Project

This is where everything comes together. You will work on a complete, end-to-end project — from data ingestion and cleaning to analysis and dashboard creation.
Outcome: You will build a portfolio-ready project that you can showcase in job interviews.


🔹 Module 9: Career Preparation & Placement Support

We help you prepare for the job market with focused guidance. This includes resume building, interview preparation, and job search strategies.
Outcome: You will be confident and ready to apply for data analyst roles.


🎓 Final Outcome

By the end of this program, you will:

  • Have hands-on experience with real-world data
     
  • Build a strong portfolio of projects
     
  • Understand end-to-end data workflows
     
  • Be fully prepared for data analyst job interviews
     
  • Have the confidence to start your career in data analytics
     

🚀 Start Your Journey Today

This is more than just a course — it’s a complete pathway to a new career.

👉 Take the first step toward becoming a Data Analyst.

Enrollments for Summer 2026 Intake is Opened.

Applications are accepted through May 22, 2026. 

Classes start on Sunday, June 7, 2026.


Fee and payment

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

Special Offer – Limited Time Only:

  • *Use coupon code SUMMER to get a $450 discount, reducing your monthly rate to just $250! ***Valid until 05/15/2026***
  • Even Bigger Savings: Make a full $ 1,800 payment upfront (Non-Refundable) and save a total of $900 compared to the regular fee!
  • Special discounted fee for High School Students. Use the Coupon Code HighSchool to 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! 🎓

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

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Sunday

Online Class

07:30 09:30 AM PST

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Event Details

Sunday

Online Class

Join our class from anywhere in the world.

07:30 09:30 AM PST

online


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