Getting Digital

Modern Data Analysis Masterclass in Pandas and Python

Develop essential data science & ai skills with expert instruction and practical examples.

Online Course
Self-paced learning
Flexible Schedule
Learn at your pace
Expert Instructor
Industry professional
Certificate
Upon completion
What You'll Learn
Master the fundamentals of data science & ai
Apply best practices and industry standards
Build practical projects to demonstrate your skills
Understand advanced concepts and techniques

Skills you'll gain:

Professional SkillsBest PracticesIndustry StandardsPython
Prerequisites & Target Audience

Skill Level

IntermediateSome prior knowledge recommended

Requirements

Basic understanding of data science & ai
Enthusiasm to learn
Access to necessary software/tools
Commitment to practice

Who This Course Is For

Professionals working in data science & ai
Students and career changers
Freelancers and consultants
Anyone looking to improve their skills
Course Information

About This Course

The data revolution is here. Data is the new gold of the 21st Century. Companies nowadays have access to a massive amount of data and their competitive advantage lies in their ability to gain valuable insights from this data.

Not only do they need to analyze all the data, but they need to do it fast. Data can empower companies to boost their revenues, improve processes and reduce costs. Data could be leveraged in many industries such as Finance, banking, healthcare, transportation, and technology sectors.

The purpose of this course is to provide you with knowledge of key aspects of data analytics in a practical, easy, and fun way. The courseprovides students with practical hands-on experience using real-world datasets. We will learn how to analyze data using Pandas Series and DataFrames, how to perform merging, concatenation and joining.

We will also learn how to perform data visualization using Matplotlib and Seaborn. Furthermore, we will learn how to deal with datetime and text dataset. So, whether you're just getting started with Python and Data Analysis, or you're well-established in your career and would like to polish your data visualization skills, this course will boost your skillset.

Provider
Udemy
Estimated Duration
20-40 hours
Language
English
Category
Technology & Programming

Topics Covered

Data Science & AIPython

Course Details

Format
Online, Self-Paced
Access
Lifetime
Certificate
Upon Completion
Support
Q&A Forum
Course Details
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This course includes:

Lifetime access to course content
Access on mobile and desktop
Certificate of completion
Downloadable resources

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