Fundamentals of Data Analysis
Achieve mastery of essential concepts and techniques in data analytics tailored for beginners, laying a strong foundation for data-driven decision-making.
Achieve mastery of essential concepts and techniques in data analytics tailored for beginners, laying a strong foundation for data-driven decision-making.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Key Technologies in Data Analytics Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Understand different types of data analysis
Master data analysis process phases
Learn essential analytics tools
Develop data visualization skills
Apply statistical concepts in analysis
Skills you'll gain
This course includes:
1.4 Hours PreRecorded video
23 assignments
Access on Mobile, Desktop, Tablet
FullTime access
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There are 5 modules in this course
This comprehensive course introduces fundamental data analysis concepts and techniques. Topics include types of analysis, data processing phases, and essential tools and skills for conducting effective data analysis.
Types of Data Analysis
Module 1 · 4 Hours to complete
Phases of Data Analysis
Module 2 · 5 Hours to complete
Data Analytics Tools and Skills
Module 3 · 3 Hours to complete
Foundational Data Analytics Math and Stats
Module 4 · 2 Hours to complete
Data Analytics Methodologies and Workflows
Module 5 · 2 Hours to complete
Fee Structure
Instructor
Distinguished Technical Trainer and Data Analytics Expert
Erik Herman serves as a certified technical trainer and data analytics professional, bringing a unique combination of technical expertise and educational background. His credentials include CompTIA CTT+ certification, Modern Classroom Certified Trainer (MCCT) designation, and IBM business and financial analytics certification. As a self-described "data nerd" with an English degree, he brings a distinctive perspective to technical education, combining analytical rigor with effective communication skills. His professional experience spans software training, consulting, curriculum development for higher education, trade publishing, market research, and sales. As an instructional designer and e-learning specialist, he develops comprehensive technical courses, particularly focusing on IBM mainframe technologies, data analysis, and cloud computing fundamentals.
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Frequently asked questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.