Become a Data Analyst with SkilloVilla | Data Analytics & Python

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Course Highlights

Complete Career Bootcamp - A structured programme that blends analytics, problem-solving, and programming to make you industry-ready.
Hands-on Learning - Work on business cases, real-world datasets, and a capstone project with industry data.
Learn from the Best - Mentorship from top 1% professionals working at companies like Microsoft, Flipkart, and Razorpay.
All-in-One Toolkit - Master Excel, SQL, Python, and Power BI, along with strong business sense and problem-solving frameworks.
Career-centric Support - Dedicated guidance for resume building, mock interviews, and direct placement opportunities with 300+ hiring partners.
No Barriers to Entry - Open to learners from all streams and backgrounds; no prior coding experience required.
Future-proof Skills - Gain expertise in Data Analytics and Visualisation; among the most in-demand skills globally.

Learn to unleash the power of Excel to decipher and solve real-world business challenges.
Write complex queries to extract information from Database using SQL.
Create business metrics to understand the business and remove inefficiencies.
Understand and apply statistics in real-world from scratch.
Learn the art of structured problem-solving through various frameworks and case studies.
Create powerful and relevant resume to stand out in the crowd and get shortlisted in organisations.
Get familiar with the interview room with rigorous mock rounds.

Learn from Top 1% Experts - Industry professionals from companies like Razorpay, Flipkart, and Microsoft guide you through real-world analytics.
Practice-driven Approach - Work on business cases, datasets, and interview problems that prepare you for the actual job.
Structured Career Support - Resume building, mock interviews, and direct placement opportunities with 300+ hiring partners.
No Prior Experience Required - Designed for students from all backgrounds; we teach you everything from the ground up.
Proven Career Outcomes - Alumni have transitioned into analytics roles at top companies like CRED, PhonePe, Swiggy, and Apollo 24/7.

Fresh Graduates - From any stream (Engineering, Commerce, Arts, Science) looking to begin their career in analytics.
Early-career Professionals - In roles like operations, MIS, or service-based jobs who want to transition into high-growth data careers.
Career Switchers - Professionals from non-technical fields aiming to move into analytics with structured learning.
Individuals with a Career Gap - Those who took time off (for higher studies, personal reasons, UPSC prep, among others) and want to restart their career with strong placement support.
Aspirants without Coding Background - The programme starts from fundamentals, so no prior programming experience is needed.
Ambitious Learners - Anyone seeking to upskill for better roles, higher salaries, or global opportunities in analytics.

1. Foundations of Analytics

2. Programming for Analytics

3. Business Analytics and Visualisation

4. Career Preparation and Placement Readiness