What you’ll learn
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Real-world use cases of Python and its versatility.
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Installation of Python on both Mac and Windows operating systems.
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Fundamentals of programming with Python, including variables and data types.
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Working with various operators in Python to perform operations.
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Fundamental concepts and importance of statistics in various fields.
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How to use statistics for effective data analysis and decision-making.
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Introduction to Python for statistical analysis, including data manipulation and visualization.
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Who this course is for:
- Beginners with no prior programming experience.
- Students or professionals in various fields, including business, science, social sciences, and healthcare, who want to enhance their data analysis skills.
- Anyone interested in automating tasks or data analysis.
- Data analysts, researchers, and scientists seeking to strengthen their statistical foundations and Python programming skills.
- Beginners with no prior statistical knowledge but with a curiosity to learn and apply statistical methods.
- Professionals looking to advance their career by acquiring valuable statistical and data analysis skills.
Can I download Data Analytics & Visualization: Using Excel and Python course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Data Analytics & Visualization: Using Excel and Python course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
Note: 100% OFF Udemy coupon codes are valid for maximum 3 days only. Look for "ENROLL NOW" button at the end of the post.
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
