About this Masterclass

Any aspiring Data Analyst would know that simply having access to Data is not enough to perform analysis unless it’s structured and well-organised. So, how do you declutter a database and make it intelligible? This is where SQL comes in!

Do you want to learn how to organise, manipulate and aggregate Data as per the requirements? Are you curious to explore querying commands like Select, Where, Group By, and more?  We will be hosting a FREE Masterclass where our Expert, Harshit Tyagi will take you through the ins and outs of SQL for Data Science.

Join him on 21st January, Saturday at 5 PM to learn the ABCs of SQL and derive valuable insights to tackle real-world problems, LIVE.

Ready to deep-dive into Data using SQL? Register Now!

What you will gain from this Masterclass

• Learn how to manipulate and aggregate data based on the requirement
• Basic SQL querying commands like Select, Where, Group By, Joins, String Matching, Aggregation
• Learn how to derive insights for data-driven decision-making using SQL querying

Meet Harshit Tyagi (LinkedIn)

• Instructor, Scaler Data Science
• Ex-Instructor, LinkedIn Learning, O’Reilly Media
• Ex-Data Science Faculty Member, Coding Ninjas
• Mentored over 1000 AI/Web/Data Science aspirants.
• Worked with Research Scientists at Yale, MIT, and UCLA to develop data processing algorithms

About Scaler Data Science

Many professionals (like us!) enter the field of Data Science by working on toy data sets and have no real-world knowledge of using real data. We are exposed to ‘old’ teaching methods and are taught to ‘cram’ content. When they start working in the industry, they fail to catch up on the skills that the industry needs because they never learnt the real-world application of using messy data and thus, end up lagging behind their peers. This leads to a loss of confidence and stops them from accelerating their career. This is where Scaler Data Science solves the problems!

Scaler Data Science is a tailor-made program to master the foundations of Data Science and Machine Learning and to take their career to the next level, via:

• A structured, guided, and industry vetted curriculum
• Live classes by faculty who have been there, done that
• Regular 1:1 mentorship from industry veterans
• Practical experience through real-life projects
• Career support via a dedicated recruitment team, alumni network, etc.
• Aspirational peer group of 3,500+ Scaler students & alumni