Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
دوراتنا
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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Course by
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Self Paced
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الإنجليزية
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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Course by
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Self Paced
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الإنجليزية
Meta Marketing Analytics
This eight-course program is designed for anyone looking to gain in-demand technical skills to kickstart a career as a marketing analyst or better analyze their business. No experience necessary. Developed by marketing analytics experts at Aptly and Meta, and designed to prepare you for jobs that include Marketing Analyst, Marketing Researcher, and more. You’ll learn basic marketing principles, how data informs marketing decisions, and how you can apply the OSEMN data analysis framework to approach common analytics questions.
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Course by
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Self Paced
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الإنجليزية
Quantitative Methods for Biology
Learn introductory programming and data analysis in MATLAB, with applications to biology and medicine.
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Course by
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24
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الإنجليزية
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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Course by
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Self Paced
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9
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الإنجليزية
High-Dimensional Data Analysis
A focus on several techniques that are widely used in the analysis of high-dimensional data.
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Course by
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Self Paced
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15
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الإنجليزية
Data Science: Inference and Modeling
Learn inference and modeling, two of the most widely used statistical tools in data analysis.
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Course by
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Self Paced
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12
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الإنجليزية
Fundamentals of Data Analysis
This course is the first of a series that aims to prepare you for a role working in data analytics. In this course, you’ll be introduced to many of the primary types of data analytics and core concepts. You’ll learn about the tools and skills required to conduct data analysis. We’ll go through some of the foundational math and statistics used in data analysis and workflows for conducting efficient and effective data analytics.
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Course by
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Self Paced
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18 ساعات
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الإنجليزية
Data-Driven Decision Making (DDDM)
This specialization explains why it is important to leverage data when contemplating organizational choices, and supplies the tools at the heart of data-driven decision making (DDDM). The three-course series explores how technology enables the collection and organization of unprecedented amounts of data, and how to dissect that data to gain powerful insights.
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Course by
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Self Paced
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الإنجليزية
Sustainability Analyst Fundamentals
The ASU Sustainability specialization introduces the role of a sustainability analyst, assesses sustainability challenges that face the planet and employers, and equips learners with the foundational skills needed to address these challenges.
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Course by
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Self Paced
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الإنجليزية
Total Data Quality
This specialization aims to explore the Total Data Quality framework in depth and provide learners with more information about the detailed evaluation of total data quality that needs to happen prior to data analysis. The goal is for learners to incorporate evaluations of data quality into their process as a critical component for all projects.
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Course by
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Self Paced
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الإنجليزية
Statistics for Data Science with Python
This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and procedures used for data analysis. After completing this course you will have practical knowledge of crucial topics in statistics including - data gathering, summarizing data using descriptive statistics, displaying and visualizing data, examining relationships between variables, probability distributions, expected values, hypothesis testing, introduction to ANOVA (analysis of variance), regression and correlation analysis.
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Course by
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Self Paced
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14 ساعات
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الإنجليزية
Fake Instagram Profile Detector
In this hands-on project, we will build and train a simple artificial neural network model to detect spam/fake Instagram accounts. Fake and spam accounts are a major problem in social media. Many social media influencers use fake Instagram accounts to create an illusion of having so many social media followers. Fake accounts can be used to impersonate or catfish other people and be used to sell fake services/products.
By the end of this project, you will be able to:
- Understand the applications of Artificial Intelligence and Machine Learning techniques in the banking industry
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Course by
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Self Paced
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4 ساعات
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الإنجليزية
Pre MBA Quantitative Skills
This Specialization is designed to equip you with a basic understanding of business finance, accounting, and data analysis. We've put together these three courses with the explicit intent of helping people prepare for th…
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Course by
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Self Paced
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الإنجليزية
Data Analytics in the Public Sector with R
Every government entity collects and stores millions of data points to perform administrative and legislative duties, allocate resources, and make decisions. Professionals in the public sector need the necessary skills to accurately interpret and inform administrators and policymakers about the meaning behind these data. This Specialization will equip you with fundamental technical skills using the R programming language to gather, manipulate, analyze, visualize, and interpret data to inform public policy and public administrative functions.
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Course by
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Self Paced
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الإنجليزية
Deep Learning for Healthcare
This specialization is intended for persons involved in machine learning who are interested in medical applications, or vice versa, medical professionals who are interested in the methods modern computer science has to offer to their field. We will cover health data analysis, different types of neural networks, as well as training and application of neural networks applied on real-world medical scenarios.
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Course by
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Self Paced
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الإنجليزية
Build Data Analysis tools using R and DPLYR
In this 2-hour long project-based course, you will learn one of the most powerful data analysis tools of the experts: the DPLYR package. By learning the six main verbs of the package (filter, select, group by, summarize, mutate, and arrange), you will have the knowledge and tools to complete your next data analysis project or data transformation.
By the end of this project, you will be able to:
Use the six main dplyr verbs
Understand the dplyr package and its capabilities
Get hands-on practice using R and dplyr functions
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
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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Course by
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الإنجليزية
Use Tableau for Your Data Science Workflow
Learn Tableau fundamentals, advanced visualizations, and integration with data science tools. Elevate your skills in creating impactful dashboards. Enroll now for hands-on experience and master the art of data storytelling. Unlock the potential for advanced analytics, exploring correlations and trends within your data. Build interactive dashboards that tell compelling data stories, utilizing filters, parameters, and actions for user engagement. Uplift your expertise with advanced visualizations, mastering heatmaps, tree maps, and geographical mapping.
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Course by
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Self Paced
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الإنجليزية
Data Analyst Career Guide and Interview Preparation
Data analytics professionals are in high demand around the world, and the trend shows no sign of slowing. There are lots of great jobs available, but lots of great candidates too. How can you get the edge in such a competitive field? This course will prepare you to enter the job market as a great candidate for a data analyst position. It provides practical techniques for creating essential job-seeking materials such as a resume and a portfolio, as well as auxiliary tools like a cover letter and an elevator pitch.
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Course by
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Self Paced
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11 ساعات
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الإنجليزية
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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Course by
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الإنجليزية
Matrix Methods
Mathematical Matrix Methods lie at the root of most methods of machine learning and data analysis of tabular data. Learn the basics of Matrix Methods, including matrix-matrix multiplication, solving linear equations, orthogonality, and best least squares approximation. Discover the Singular Value Decomposition that plays a fundamental role in dimensionality reduction, Principal Component Analysis, and noise reduction. Optional examples using Python are used to illustrate the concepts and allow the learner to experiment with the algorithms.
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Course by
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Self Paced
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7 ساعات
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الإنجليزية
Applied Data Science with R
This Specialization is intended for anyone with a passion for learning who is seeking to develop the job-ready skills, tools, and portfolio to have a competitive edge in the job market as an entry-level data scientist. Through these five online courses, you will develop the skills you need to bring together often disparate and disconnected data sources and use the R programming language to transform data into insights that help you and your stakeholders make more informed decisions. By the end of this Specialization, you will be able to perform basic R programming tasks to complete the data
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Course by
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Self Paced
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الإنجليزية
Use Power Bi for Financial Data Analysis
In this project, learners will have a guided look through Power Bi dynamic reports and visualizations for financial data analysis. As you view, load, and transform your data in Power Bi, you will learn which steps are key to making an effective financial report dashboard and how to connect your report for dynamic visualizations. Data reporting and visualization is the most critical step in a financial, business, or data analyst’s functions. The data is only as effective if it can be communicated effectively to key stakeholders in the organization. Effective communication of data starts here.
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Course by
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Self Paced
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3 ساعات
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الإنجليزية
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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Course by
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التعلم الذاتي
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21
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الإنجليزية