Have a question?
Message sent Close

Data Analyst Course (with AI)

D
Instructor
Dinesh Subramani
S D R
1,500+ enrolled
4.0
  • Description
  • Curriculum
  • Reviews

Data Analyst Career Accelerator Program

This Data Analyst program is designed to transition individuals from zero knowledge to becoming confident, job-ready data professionals through a structured, hands-on learning path. The curriculum is built to prioritize real-world execution over pure theory, focusing on the essential skills required for modern data roles.

 


Mode Of Learning

  • Online 
  • Offline (Classroom Training)

    Self-Paced • Recorded Sessions • Mentor Support • Guest Sessions • Offline Access • Course Resources

 


Program Roadmap

The curriculum is delivered in three progressive stages to ensure a steady build-up of technical and analytical expertise.

 

Phase

Duration

Learning Focus

Beginner

3 Months

Data fundamentals, basic statistics, Excel, SQL, and initial visualization tools.

Intermediate

6 Months

Advanced SQL, data manipulation, Python, exploratory analysis, and business dashboards.

Advanced

10 Months

Master-level analytics, statistics, machine learning foundations, and big data concepts.

Core Learning Objectives

Participants will develop a comprehensive toolkit to handle the entire data lifecycle:

  • Data Preparation: Learn to clean, transform, and prepare messy datasets for analysis.

  • Data Extraction: Gain proficiency in writing efficient SQL queries to retrieve information.

  • Analytical Tools: Perform complex analysis using Excel and Python libraries such as Pandas and NumPy.

  • Visualization: Build interactive and insightful dashboards using Power BI and Tableau.

  • Statistical Application: Apply statistical thinking to solve real-world business problems.

  • Communication: Create data stories that effectively drive organizational decision-making.

Hands On Projects

Participants will work directly with real datasets to solve business problems. Every module is specifically designed to simulate actual job scenarios and encourage thinking like a professional data analyst.

Portfolio Development

By the conclusion of the program, graduates will have developed a robust professional portfolio including:

  • Multiple mini-projects across diverse domains.

  • A comprehensive capstone project addressing a real-world business challenge.

  • A showcase of work to present to potential employers.

Enrollment Information

Target Audience:

  • Beginners with no prior data experience.

  • Students and recent graduates seeking careers in data.

  • Working professionals transitioning into analytics.

  • Anyone aiming to make more data-driven decisions in their current role.

Career Outcome

The ultimate goal of the program is to ensure you do not just “learn tools” but understand how to utilize data to solve problems and communicate insights. This comprehensive approach is designed to make you a valuable contributor to business decisions and highly competitive in the job market.

 

S A R M

Share Your Experience

Help fellow learners by sharing your honest feedback about this course.

Write a Review