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
4.46
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2.25 Hrs

Learning hours

30.2K+
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Analytics with SQL and Python

2.25 Learning Hours . Beginner

Skills you’ll Learn

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. 

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Course Outline

SQL Hands-on

This module provides a comprehensive understanding of analytics using SQL.

Python Project on IPL Data

This module offers a thorough understanding of analytics with Python by means of a project on IPL data.

Python Project on FIFA data

This module imparts a comprehensive understanding of analytics using Python through a project focusing on FIFA data.

Our course instructor

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Mr. Bharani Akella

Data Scientist

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3.3M+ Learners
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82 Courses
Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.

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4.46
Course Rating
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What our learners enjoyed the most

Ratings & Reviews of this Course

Reviewer Profile

4.0

Analytics with SQL and Python, Python Project
What I like about this lesson is how it combines the power of SQL for efficient data extraction with Python’s flexibility for advanced data processing. It teaches me how to streamline workflows, manipulate large datasets, and perform deeper analytics, making the process of gaining insights both efficient and comprehensive.
Reviewer Profile

5.0

Hands-on Experience with SQL and Python Projects
I particularly enjoyed the practical application of SQL through hands-on parts 1 and 2. The Python projects on IPL and FIFA data were engaging and helped solidify my understanding of data analytics concepts.

Course with completion certificate

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Stand out to recruiters

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Share on professional channels

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Globally recognized

Analytics with SQL and Python

2.25 Learning Hours . Beginner

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.

Will I get a certificate after completing this Analytics with SQL and Python free course?

Yes, you will get a certificate of completion for Analytics with SQL and Python after completing all the modules and cracking the assessment. The assessment tests your knowledge of the subject and badges your skills.

How much does this Analytics with SQL and Python course cost?

It is an entirely free course from Great Learning Academy. Anyone interested in learning the basics of Analytics with SQL and Python can get started with this course.

Is there any limit on how many times I can take this free course?

Once you enroll in the Analytics with SQL and Python course, you have lifetime access to it. So, you can log in anytime and learn it for free online.

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes, you can enroll in as many courses as you want from Great Learning Academy. There is no limit to the number of courses you can enroll in at once, but since the courses offered by Great Learning Academy are free, we suggest you learn one by one to get the best out of the subject.

Why choose Great Learning Academy for this free Analytics with SQL and Python course?

Great Learning Academy provides this Analytics with SQL and Python course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts. Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.

What are the steps to enroll in this Analytics with SQL and Python course?

Enrolling in any of the Great Learning Academy’s courses is just one step process. Sign-up for the course, you are interested in learning through your E-mail ID and start learning them for free online.

Will I have lifetime access to this free Analytics with SQL and Python course?

Yes, once you enroll in the course, you will have lifetime access, where you can log in and learn whenever you want to. 

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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.
 

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