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Our Courses
Statistics with Python
This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language. Learners will learn where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization. They will be able to utilize data for estimation and assessing theories, construct confidence intervals, interpret inferential results, and apply more advanced statistical modeling procedures.
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Self Paced
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English
Analyzing Data with Excel
Build the fundamental knowledge required to use Excel spreadsheets to perform basic data analysis. The course covers the basic workings and key features of Excel to help students analyze their data.
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5
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English
Data Science: Inference and Modeling
Learn inference and modeling, two of the most widely used statistical tools in data analysis.
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12
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English
High-Dimensional Data Analysis
A focus on several techniques that are widely used in the analysis of high-dimensional data.
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15
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English
Causal Diagrams: Draw Your Assumptions Before Your Conclusions
Learn simple graphical rules that allow you to use intuitive pictures to improve study design and data analysis for causal inference.
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Self Paced
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9
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English
Quantitative Methods for Biology
Learn introductory programming and data analysis in MATLAB, with applications to biology and medicine.
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24
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English
Big Data Analysis Deep Dive
The job market for architects, engineers, and analytics professionals with Big Data expertise continues to increase. The Academy’s Big Data Career path focuses on the fundamental tools and techniques needed to pursue a career in Big Data. This course includes: data processing with python, writing and reading SQL queries, transmitting data with MaxCompute, analyzing data with Quick BI, using Hive, Hadoop, and spark on E-MapReduce, and how to visualize data with data dashboards.
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Self Paced
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14 hours
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English
Cell Biology: Transport and Signaling
How do we know what we know about cells? Enhance your scientific thinking and data analysis skills with this in-depth adventure through cell biology.
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Self Paced
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English
Cell Biology: The Cytoskeleton and Cell Cycle
How do we know what we know about cells? Enhance your scientific thinking and data analysis skills with this in-depth adventure through cell biology.
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Self Paced
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English
Cell Biology: Cell-Cell Interactions
How do we know what we know about cells? Enhance your scientific thinking and data analysis skills with this in-depth adventure through cell biology.
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Self Paced
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English
Excel for Everyone: Core Foundations
Learn Excel fundamentals including data wrangling, spreadsheet management, and basic data analysis.
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Self Paced
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English
Excel for Everyone: Data Analysis Fundamentals
Perform advanced data wrangling, analysis and dashboard visualization to help drive strategic decision-making.
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Self Paced
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English
Advanced statistical physics
We explore statistical physics in both classical and open quantum systems. Additionally, we will cover probabilistic data analysis that is extremely useful in many applications.
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Self Paced
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72
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English
Business and Data Analysis Skills
Learn key business management skills as well as tools and methods for analyzing data and presenting results.
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4
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English
Programming for Data Science
Learn how to apply fundamental programming concepts, computational thinking and data analysis techniques to solve real-world data science problems.
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English
R Data Science Capstone Project
Apply various data analysis and visualization skills and techniques you have learned by taking on the role of a data scientist working with real-world data sets.
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21
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English
MATLAB Essentials
Master the essentials of data visualization, data analysis, programming, and app design interactively with MATLAB.
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6
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English
Introduction to Bayesian Statistics Using R
Learn the fundamentals of Bayesian approach to data analysis, and practice answering real life questions using R.
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Self Paced
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14
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English
Digital Marketing Analytics: Tools and Techniques
Learn how to leverage leading tools and approaches to digital marketing data analysis. Dive into SEO and Paid search strategies, web analytics, online testing, machine learning and AI/Big Data applications to strengthen your digital marketing efforts and leverage your resources most effectively.
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10
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English
Online Advertising & Social Media
Learn how to develop Online Advertising Ecosystems complete with Social Media/Social Network and Media Big Data analysis for better decision making in all forms of outreach.
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10
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English
Try It: Introduction to Google Analytics
This course is an introduction to using an analytics platform to unlock the power of data. Explore how data from digital products and tools can prepare you improve ROI, develop user insights, and generate revenue results. This course prepares you to learn more advanced approaches to digital analytics and data analysis used by data analysts, marketers, product managers, and other business professionals.
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Self Paced
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1
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English
UX Data Analysis
Become a UX data scientist! From qualitative data analysis to big data Web analytics, you will be able to leverage insights from data to make empirically-based recommendations.
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Self Paced
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10
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English
Mathematical Methods for Data Analysis
Learn mathematical methods for data analysis including mathematical formulations and computational methods. Some well-known machine learning algorithms such as k-means are introduced in the examples.
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Self Paced
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21
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English
Introduction to Data Science
Interested in learning more about data science, but don’t know where to start? This 4-course Specialization from IBM will provide you with the key foundational skills any data scientist needs to prepare you for a career in data science or further advanced learning in the field. This Specialization will introduce you to what data science is and what data scientists do. You’ll discover the applicability of data science across fields, and learn how data analysis can help you make data driven decisions.
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English
Analyze Data in a Model Car Database with MySQL Workbench
In this project, you’ll perform exploratory data analysis for Mint Classics Company, a retailer of model cars. The company is looking to close one of its storage facilities. Your objective is to recommend inventory reduction strategies that won’t negatively impact customer service. Using MySQL Workbench, you’ll familiarize yourself with the sample database, run SQL queries to identify factors affecting storage space and propose inventory reduction approaches.
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Course by
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Self Paced
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3 hours
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English