When you enroll in this course, you'll also be enrolled in this Specialization.
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Earn a shareable career certificate
There are 4 modules in this course
In this course, you will gain a comprehensive understanding of data science and its key statistical methods. Data science plays a crucial role in making data-driven decisions in today's business, technology, and research environments.
In this section, we define data science, differentiate it from machine learning (ML) and artificial intelligence (AI), examine key real-world applications, and discuss best practices throughout the data science life cycle.
What's included
1 video6 readings1 assignment
Show info about module content
1 video•Total 1 minute
What Is Data Science? - Overview Video•1 minute
6 readings•Total 80 minutes
Introduction•10 minutes
Other Specialized Approaches•15 minutes
Signal Processing•15 minutes
Data Understanding•15 minutes
Common Tools and Techniques•15 minutes
Exam Essentials•10 minutes
1 assignment•Total 15 minutes
Understanding Core Data Science Principles•15 minutes
Mathematics and Statistical Methods
Module 2•3 hours to complete
Module details
In this section, we cover essential mathematics for data science, including calculus, probability distributions, inferential statistics, and linear algebra, highlighting their roles in data analysis, modeling, and algorithm development.
What's included
1 video11 readings1 assignment
Show info about module content
1 video•Total 1 minute
Mathematics and Statistical Methods - Overview Video•1 minute
11 readings•Total 160 minutes
Introduction•15 minutes
The Chain Rule•15 minutes
Probability Distributions•15 minutes
Skewness and Kurtosis•15 minutes
Inferential Statistics•10 minutes
Hypothesis Testing•10 minutes
Paired-Samples T-Test•10 minutes
Real World Scenario: Investigating Diet Preferences•30 minutes
Vector Operations•15 minutes
Matrix Operations•15 minutes
Exam Essentials•10 minutes
1 assignment•Total 10 minutes
Foundations of Mathematics and Statistics•10 minutes
Data Collection and Storage
Module 3•2 hours to complete
Module details
In this section, we identify common data sources, explain data acquisition and ingestion methods such as batch and streaming, and evaluate structured and unstructured storage solutions for effective data management and analytics.
What's included
1 video8 readings1 assignment
Show info about module content
1 video•Total 1 minute
Data Collection and Storage - Overview Video•1 minute
8 readings•Total 80 minutes
Introduction•10 minutes
Real World Scenario•10 minutes
Synthetic Data•10 minutes
Common Licensing Types•10 minutes
Load•10 minutes
HDF5•10 minutes
Compressed Formats•10 minutes
Summary•10 minutes
1 assignment•Total 10 minutes
Data Handling and Management Fundamentals•10 minutes
Data Exploration and Analysis
Module 4•2 hours to complete
Module details
In this section, we explore Exploratory Data Analysis (EDA) techniques for various variable types, interpret common data visualizations, and address frequent data quality issues critical for robust data science analysis.
What's included
1 video8 readings1 assignment
Show info about module content
1 video•Total 1 minute
Data Exploration and Analysis - Overview Video•1 minute
8 readings•Total 85 minutes
Introduction•10 minutes
Histogram•10 minutes
Bar Chart•10 minutes
Violin Plot•10 minutes
Principal Component Analysis•10 minutes
Nonstationarity•15 minutes
Sparse Data•10 minutes
Exam Essentials•10 minutes
1 assignment•Total 10 minutes
Data Exploration and Analysis Fundamentals•10 minutes
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
We embrace the potential in data and technology. Whether it’s equipping researchers with powerful insights that fuel their work or inspiring our community of learners to drive change in their fields. We’re committed to fast-tracking innovation, unlocking new possibilities, and championing breakthroughs that redefine industries and improve lives.
With a legacy built on trust, our 200 years of experience in publishing allows us to be your partner in shaping a world driven by information, curiosity, and continuous advancement.
When will I have access to the lectures and assignments?
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.