SQL Data Analysis Projects | Data Analyst Portfolio Projects | SQL for Beginners | SimpliCode

This "SQL For Data Analysis Tutorial" by SimpliCode emphasizes on the fundamentals of Data analysis with SQL. This SQL For Beginners tutorial covers technicalities that will teach you how to extract and analyze data stored in databases using SQL in theoretical as well as practical ways for a better learning experience. In this tutorial, we will perform a thorough exploratory data analysis on real-time datasets like Olympic events and Employee Attrition from Kaggle. You'll be able to create effective SQL queries by end of the session to handle a wide range of data analysis using SQL on Real-time Datasets

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➡️ Data Analyst Masters Program
This Data Analyst course, in collaboration with IBM, will transform you into a data analytics expert. In this Data Analytics course, you will learn the latest analytics tools and techniques, how to work with SQL databases, the languages of R and Python, the art of creating data visualizations, and how to apply statistics and predictive analytics in a business environment. This joint partnership between Simplilearn and IBM introduces students to an integrated Blended Learning approach, making them experts in data analysis. This Data Analytics certification course, in collaboration with IBM, will help students become industry-ready for top data analyst job roles.

✅ Who should enroll in this course

Aspiring professionals from all educational backgrounds and with an analytical frame of mind are best suited to pursue Data Analytics courses. This includes:

IT professionals
Banking and finance professionals
Marketing managers
Sales professionals
Supply chain network managers
Beginners in the data analytics domain
Students in UG/ PG programs

✅ Why become a Data Analyst
The World Economic Forum predicts that, by 2025, Data Analysts will be one of the hottest jobs on the market. Organizations view data analysis as one of the most crucial skills due to the value that they can help derive from data. With over 2.5 quintillion bytes of data created each day, data is more abundant and accessible than ever in today’s business environment, and with the ever-increasing skill gap in data analytics today, the value of Data Analysts is continuing to grow, creating new jobs, and career advancement opportunities.

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