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Analytics with SQL and Python
Unlock the power of data analysis with our free Analytics with SQL & Python course! Learn how to analyze & visualize data effectively, boost your skills, and advance your career. Enroll now!
What you learn in Analytics with SQL and Python ?
About this Free Certificate Course
This free course will teach you about SQL analytics and Python analytics. Python is one of the world's most popular programming languages today. In recent times, it has found its popularity in the domain of data analysis. This is the case because Python offers a lot of convenience in terms of its easy-to-use syntax, various data analysis frameworks, and fantastic flow that helps with the easy analysis of a large amount of data. Furthermore, Python was purpose-built to ensure that it can be scaled up to work with a large amount of data efficiently.
This SQL for data analysis course aims to provide you with the content that will help you understand the usage of SQL practically to solve data analysis problems, along with working on two real-life datasets for analysis as well.
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Course Outline
This module provides a comprehensive understanding of analytics using SQL.
This module offers a thorough understanding of analytics with Python by means of a project on IPL data.
This module imparts a comprehensive understanding of analytics using Python through a project focusing on FIFA data.
Our course instructor
Mr. Bharani Akella
Data Scientist
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1.5 Hours
of self-paced video lectures
Frequently Asked Questions
Can SQL be used for data analytics?
You may have come across many other tools that are commonly utilized for data analytics. SQL is capable of creating and interacting with many databases, and surprising enough, it is capable of performing data analysis. Hence, yes, you can use SQL for data analytics.
How are Python and SQL used in data analysis?
Python and SQL are both common languages used in data analysis. Python is a protean language that can be used for data wrangling, cleaning, and analysis. SQL is a database query language that can be used to access, filter, and aggregate data.
Do Python and SQL work together?
Python and SQL are the most powerful programming languages for data analysts. Python can be used to perform various operations in a database, such as retrieving data, updating data, and deleting data. You can always pull data from your relational database created using SQL directly into your Machine Learning pipelines and store data from your Python application.
Is SQL better than Python for data analysis?
SQL is better than Python for data analysis in terms of speed and scalability. However, Python is more flexible and easier to use than SQL. On the other hand, it solely depends on the data analysts to choose the appropriate language according to their work. However, in general, SQL is better suited for structured data, while Python is better for unstructured data. You can learn about data analytics better by enrolling in Great Learning’s free Analytics with SQL and Python course and earn a free certificate.
Should I learn Python or SQL first?
It depends on the data you want to work on. For structured data, SQL is the most straightforward programming language to start with. But if you want to start with Data Science, then learning Python programming language will prove to be more helpful as it provides various simple ways for dealing with complex data. Both the programming languages are the in-demand skills for data analysis.
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Analytics with SQL and Python
Data analysis has become a critical aspect of modern businesses, and the ability to process and analyze large data sets is in high demand. In this free course, you will learn about two of the most popular and powerful data analysis tools, SQL and Python.
SQL Hands-on Session:
SQL (Structured Query Language) is a programming language designed for managing and manipulating relational databases. In this course, you will learn the fundamentals of SQL, including how to write queries, extract data from databases, and aggregate data. You will also gain hands-on experience with SQL through interactive sessions and exercises.
Data Analysis with Python:
Python is a versatile programming language that has become a popular tool for data analysis and machine learning. In this course, you will learn how to use Python for data analysis, including how to clean and preprocess data, perform exploratory data analysis, and create visualizations.
Demonstration with IPL Dataset:
To demonstrate the practical applications of SQL and Python, this course will use the Indian Premier League (IPL) dataset. You will learn how to perform data analysis and create visualizations to gain insights into the performance of teams and players.
Demonstration with FIFA Dataset:
In addition to the IPL dataset, this course will also use the FIFA dataset to demonstrate the power of SQL and Python for data analysis. You will learn how to use SQL and Python to extract meaningful insights from the data and gain a deeper understanding of the performance of teams and players.
In conclusion, this free course on Analytics with SQL and Python provides an excellent opportunity to gain hands-on experience with two of the most popular and powerful data analysis tools. Whether you are a beginner or have some experience with SQL and Python, this course will help you develop your skills and prepare you for a career in data analysis.
