Excel for Data Science for Beginners

Yes, Excel is an essential part of Data Science. Learners looking to build a solid career in the Analytics, Data Engineering industries also need an understanding of Excel. So, it provides excellent worth learning Excel for both Data Science and Data Engineering enthusiasts. 
 

Excel is fundamentally employed in Data Science and Data Engineering industries to gather, track, visualize and translate data insights into actionable events. Data Scientists use Excel to analyze data patterns and derive conclusions from them. This provides strategies for businesses to grow in the market. 
 

Excel is a prevalent term in Data Science because of its user-friendliness, support of mathematical and statistical tools, employment in data preprocessing, visualization, Exploratory Data Analysis (EDA), predictive modeling, and its competence to integrate with other platforms. These are the reasons why it is essential for data scientists and analysts. 
 

• Data Science is the fastest-growing field, and several jobs require learning Excel operations for Data Science. Some of these jobs are:
• Data Administrator
• Data Engineer
• Data Scientist
• ML Engineer
• Business IT Analyst
• Data Architect
• Market Analyst
   

Yes, once you finish the course modules, you can take the quiz that will reward you with a course completion certificate. The certificate showcases your skills in your professional career. 
 

This free course will help you to understand the basic Excel concepts and their functionalities used in Data Science, including cells, rows, columns, basic maths, aggregation, date, and time. You will have thorough knowledge to work with VLookups, pivot tables filtering and sorting techniques, and handle different types of errors in Excel. The course is beneficial for developing Excel skills for the learner. 
 

The course is entirely free of cost. So aspirants can enroll in this course and start learning basic Excel concepts in Data Science. 
 

No, the course does not set any limit to learning it. Learning enthusiasts can take this course as many times as they want. Hence, you can revisit the course and start learning again whenever you feel like revising your learnings. 
 

Yes, there are several courses that you can enroll yourself in and start learning. You can sign up for multiple courses simultaneously with Great Learning Academy. 
 

Great Learning Academy is a huge platform that provides self-paced courses in various domains. Learners take benefit from these courses in their professional careers. There are more than 6 million learners worldwide who are benefitted from these courses. This Statistics for Data Science course is helpful for enthusiasts looking forward to building a career in the Data domain. This course will help you familiarize yourself with Data Science's Excel functions like Data and Time, VLookups, Pivot Tables, and handle Errors. 
 

The free course does not require any eligibility to enroll. Hence, any learner intending to learn basic Excel concepts and functionalities for Data Science can take the course without any nudge.