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!
Instructor:
Mr. Bharani Akella
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About this 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.
Top universities across the globe, like the University of Texas at Austin, Northwestern University, MIT, etc., have collaborated with Great Learning and designed world-class Post Graduate and Degree courses in the Data Science field. Enroll in the best data science courses in India that are #1 ranked and develop advanced data science and analytics skills to become a professional data scientist. Furthermore, secure a Postgraduate or Degree Certificate in the data science and analytics courses from these world-class universities.
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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Skill & tools
65% of learners found all the desired skills & tools
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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.
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.
Is SQL harder than Python?
SQL as a programming language is the easiest one to learn due to its syntax simplicity and contains a few concepts compared to Python. Python is the programming language that contains vast concepts to get familiar with for the smooth sailing of the tasks at hand where you are dependent on Python language.
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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.