Skip to 0 minutes and 1 second SPEAKER: Data science getting you down? Destress by learning the ins and outs of data science in just two weeks. Follow along with expert Radhika Subramanian as you discover the fundamentals of data science. This course will help you conceptualise effective data science techniques, explore data science case studies, and implement what you’ve learned in your own project. Choose the pace and the place where you learn. Step into your future with data science projects and applications from Packt and FutureLearn.
Data Science Projects and Applications
Investigate the concepts and theories of applied data science needed to store, manipulate, and visualise huge amounts of data.
592 enrolled on this course
Duration
2 weeksWeekly study
2 hours100% online
How it works
Data Science Projects and Applications
Learn practical skills for a career in data analysis or data science
Data science allows organisations to understand and interpret swathes of data and gain insights that allow for smarter decision making, driven by data.
This two-week course provides an overview of the key concepts in data science, from understanding regression to using K-means clustering.
Discover new data analysis techniques through engaging data science projects
Whether you’re beginning a career in data science or want to understand your organisation’s data better, this course will strengthen your knowledge of data analysis tools and techniques.
You’ll complete practical projects that will demonstrate real-world applications of data science. This will allow you to assess different data science scenarios and choose the best approach, grounded in a broad knowledge of data analysis methodology.
Explore data visualisation tools and methods
You’ll delve into different types of data analysis and explore how to create effective data visualisation using MySQL. Using case studies as a starting point, you’ll discover step-by-step data visualisation processes, from gathering the data to displaying the output.
With this knowledge, you’ll be able to solve problem statements with data visualisation and be able to apply this knowledge to your own work.
Develop your data manipulation and interpretation skills
Having explored data analysis methods, you’ll then learn to evaluate and interpret this data in a meaningful way.
With a solid understanding of how to collect, review, and evaluate data, you’ll be able to explain your findings and the supporting methodology.
By the end of this course, you’ll understand applied data science methods and concepts. You’ll have gained insights into a variety of analytical approaches to data and be able to use these to interpret data effectively.
Syllabus
Week 1
Data analysis, regression, and visualization
Welcome and introduction
Welcome to Data Science Projects and Applications and the start of your learning journey, brought to you by Packt.
Fundamentals of data science
Begin your journey into the world of data science by learning about the environmental setup.
Extended data analysis
In this activity, we'll discuss extended data analysis.
Regression
In this activity, we'll explore linear regression.
Data visualization
In this activity, we'll describe how to transform data into data visualizations.
Wrap up
You have reached the end of Week 1. In this activity, you will reflect on what you have learned.
Week 2
Time series, k-means clustering, and decision-trees
Introduction to Week 2
Welcome to Week 2. In this activity, we'll highlight the main topics that will be covered this week.
Apply your knowledge
In this activity, we'll explore how you can apply what you have learned so far.
Time series
In this activity, we'll discuss the concepts of time series and time series analysis
K-means Clustering
In this activity, we'll discuss k-means clustering.
Decision tree
In this activity, we'll examine how decision trees are set up.
Wrap up
You have reached the end of this course. In this activity, you will reflect on what you have learned.
When would you like to start?
Start straight away and join a global classroom of learners. If the course hasn’t started yet you’ll see the future date listed below.
Available now
Learning on this course
On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.
What will you achieve?
By the end of the course, you‘ll be able to...
- Classify effective data science techniques
- Explore relevant data science case studies
- Practice your learnings on your own projects
Who is the course for?
This course is designed for anyone interested in learning about data science, particularly those looking to begin a career in data science of analytics. It would also be suitable for those wanting to better understand their organisation’s data and how to use and interpret it effectively.
What software or tools do you need?
You’ll need to download and install the Anaconda software to your Windows, MacOS, or Linux system. We’ll show you how to do this on the course.
Who developed the course?
Packt
Founded in 2004 in Birmingham, UK, Packt’s mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.
FutureLearn
FutureLearn is a leading social learning platform and has been providing high quality online courses for learners around the world over the last ten years.
Ways to learn | Subscribe & save | Buy this course | Start learning today |
|---|---|---|---|
| Choose the best way to learn for you! | $349.99 for one year Automatically renews | $54/one-off payment | Free |
| Develop skills to further your career | Fulfill your current learning need | Try this course - with limits | |
| Access to this course | tick | tick | Limited to 2 weeks |
| Access to 1,000+ courses | tick | cross | cross |
| Learn at your own pace | tick | tick | cross |
| Discuss your learning in comments | tick | tick | tick |
| Certificate when you're eligible | Digital only | Printed and digital | cross |
Cancel for free anytime |
Ways to learn
Choose the best way to learn for you!
Buy this course
$54/one-off payment
Fulfill your current learning need
- Access to this course
- Learn at your own pace
- Discuss your learning in comments
- Printed and digital certificate when you’re eligible
Subscribe & save
$349.99 for one year
Automatically renews
Develop skills to further your career
- Access to this course
- Access to 1,000+ courses
- Learn at your own pace
- Discuss your learning in comments
- Digital certificate when you're eligible
Cancel for free anytime
Start learning today
Free
Try this course - with limits
- Limited to 2 weeks
Find out more about certificates, Unlimited or buying a course (Upgrades) | |||
Find out more about certificates, Unlimited or buying a course (Upgrades)
Learning on FutureLearn
Your learning, your rules
- Courses are split into weeks, activities, and steps to help you keep track of your learning
- Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
- Stay motivated by using the Progress page to keep track of your step completion and assessment scores
Join a global classroom
- Experience the power of social learning, and get inspired by an international network of learners
- Share ideas with your peers and course educators on every step of the course
- Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others
Map your progress
- As you work through the course, use notifications and the Progress page to guide your learning
- Whenever you’re ready, mark each step as complete, you’re in control
- Complete 90% of course steps and all of the assessments to earn your certificate
Want to know more about learning on FutureLearn? Using FutureLearn
Do you know someone who'd love this course? Tell them about it...
More courses you might like
Learners who joined this course have also enjoyed these courses.
Browse more in Science, Engineering & Maths and IT & Computer Science
