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Intro to Analytic Thinking, Data Science, and Data Mining
This course is part of Data Science Fundamentals.
Course Cost
Free course
Intermediate
Skill Level
6 Hours
Self-paced Video lessons
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 Data Science Fundamentals 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.
What you'll learn
Understand the role and skills required in data science profession
Apply CRISP-DM methodology to solve business problems
Evaluate ethical considerations in data science
Identify appropriate analytics approaches for different scenarios
Explore data science tools and resources
Skills you'll gain
This course includes:
0.1 Hours PreRecorded video
2 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
Get a Completion Certificate
Share your certificate with prospective employers and your professional network on LinkedIn.
CREATED BY
PROVIDED BY
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 4 modules in this course
This comprehensive course introduces fundamental concepts of data science and data mining. Students learn about the field of data science, its applications in business, and ethical considerations. The curriculum covers the CRISP-DM methodology, types of analytics (Descriptive, Predictive, and Prescriptive), and practical applications through real-world case studies. The course emphasizes both theoretical understanding and practical implementation of data science concepts.
Data Science: The Field and Profession
Module 1 · 2 Hours to complete
Data Science in Business
Module 2 · 1 Hours to complete
Data Mining and an Overview of Data Analytics
Module 3 · 1 Hours to complete
Solving Problems with Data Science
Module 4 · 2 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Data Science Fundamentals
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
3.9
42
Reviews
15,874
Students
5
Courses
Julie Pai is an accomplished professional with over 10 years of experience in technology education programs. Her journey began in biology and clinical research, which sparked her interest in statistical analysis and data analysis. As the Assistant Director of Technology Programs at the University of California, Irvine, Julie collaborates with industry professionals to create, launch, and manage a variety of technology courses, including Data Science, Data Analytics, Cloud Computing, and Machine Learning. She is proficient in several programming languages and tools such as Tableau, SQL, MySQL, Python, Spark, Hive, and Scala. Julie's dedication to education is reflected in her efforts to develop engaging curricula that equip students with the skills needed to thrive in the technology sector. Through her work, she plays a vital role in bridging the gap between academia and industry, fostering a new generation of data-driven professionals.
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.