Free Data Preprocessing Course

Data Cleaning Techniques in Data Science & Machine Learning
3.8
Udemy 168 learners
Learn More
This course provides learners with an in-depth understanding of data cleaning techniques in Data Science & Machine Learning. It covers topics such as data reading, merging or splitting datasets, different visualization tools, locating or handling missing/absurd values, and hands-on sessions. By enrolling in this course, learners will gain the knowledge and skills necessary to effectively clean data for Data Science & Machine Learning. They will also understand why data cleaning is important, and how it can improve decision making, efficiency, and productivity. Learners will have the opportunity to practice their data cleaning skills with a dataset. This course is perfect for new learners who want to gain a comprehensive understanding of data cleaning techniques in Data Science & Machine Learning.
Analysis Before Model Building: SAS and R codes side by side
5.0
Udemy 1 learners
Learn More
This course is perfect for new learners who want to learn the basics of data cleaning, data exploration and data analysis in SAS and R. It provides downloadable sample codes of SAS and R that students can copy, paste and run in the appropriate software. Step-by-step activities are included in the form of lectures, demos and PowerPoint presentations with annotations describing procedures, functions and options in SAS Studio, and functions in RStudio. Basic knowledge in at least one programming language (SAS or R) is required to take this course. Click now to get started on your journey to mastering data analysis with SAS and R!
Tableau Prep Masterclass: Data Preparation Analysis & ETL
4.6
Udemy 3,094 learners
Learn More
This Tableau Prep Masterclass is the perfect opportunity for new learners to master the art of data preparation, analysis, and ETL. Through a series of hands-on activities, learners will develop advanced data preparation techniques, master Tableau Prep's ETL capabilities, leverage advanced analysis tools, and utilize Tableau Prep's powerful automation features. Industry experts with years of experience in data analytics will provide step-by-step guidance to help learners get the most out of the course. Don't miss out on this chance to become a data preparation and analysis master!
Master Course in Tableau Prep - Prepare & Clean Data
4.5
Udemy 6,286 learners
Learn More
This Master Course in Tableau Prep - Prepare & Clean Data is the perfect way to learn all the functionality of Tableau Prep. Led by Jamie Fry, an experienced Tableau user with 10 years of workplace experience, the course is divided into three stages and is suitable for beginners with no prior knowledge of data preparation or cleansing. Fry's technical teaching comes with real workplace Do's and Don'ts, giving learners an insight they won't get from full time instructors. With this course, learners can progress from beginner to competent user in just one concise course. Click now to find out more about the precise functionality taught.
View More Courses
Compare Courses
1. Programming Courses: These online courses cover a wide range of programming languages such as Python, Java, C++, and more. They also teach students web development, software engineering, and other technical skills.

2. Business Courses: These courses cover topics such as entrepreneurship, marketing, accounting, and financial management. Students can learn about business strategy, banking, investment, and more.

3. Language Courses: Online courses in languages such as Spanish, French, Mandarin, and more are available for students looking to improve their language skills or learn a new language.

4. Healthcare Courses: These courses cover topics such as nursing, medical coding, healthcare management, and more. Students can also learn about public health, nutrition, and other related topics.

5. Arts & Design Courses: Online courses in graphic design, animation, photography, and other artistic subjects are available for students interested in creative fields.

6. Personal Development Courses: These courses cover topics such as time management, communication skills, mindfulness, and more to help students improve their personal and professional lives.

7. STEM Courses: Science, Technology, Engineering, and Mathematics (STEM) courses cover subjects such as biology, physics, engineering, and more. Students can learn about cutting-edge technologies and scientific advancements.