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.
-
Course by
-
Self Paced
-
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.
-
Course by
-
Self Paced
-
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.
-
Course by
-
Self Paced
-
الإنجليزية
Quantitative Methods for Biology
Learn introductory programming and data analysis in MATLAB, with applications to biology and medicine.
-
Course by
-
24
-
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.
-
Course by
-
Self Paced
-
9
-
الإنجليزية
High-Dimensional Data Analysis
A focus on several techniques that are widely used in the analysis of high-dimensional data.
-
Course by
-
Self Paced
-
15
-
الإنجليزية
Data Science: Inference and Modeling
Learn inference and modeling, two of the most widely used statistical tools in data analysis.
-
Course by
-
Self Paced
-
12
-
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.
-
Course by
-
Self Paced
-
18 ساعات
-
الإنجليزية
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.
-
Course by
-
Self Paced
-
14 ساعات
-
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.
-
Course by
-
Self Paced
-
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.
-
Course by
-
Self Paced
-
الإنجليزية
Fundamentals of Machine Learning for Supply Chain
This course will teach you how to leverage the power of Python to understand complicated supply chain datasets. Even if you are not familiar with supply chain fundamentals, the rich data sets that we will use as a canvas will help orient you with several Pythonic tools and best practices for exploratory data analysis (EDA). As such, though all datasets are geared towards supply chain minded professionals, the lessons are easily generalizable to other use cases.
-
Course by
-
Self Paced
-
13 ساعات
-
الإنجليزية
Precalculus through Data and Modelling
This specialization helps to build the foundational material to use mathematics as a tool to model, understand, and interpret the world around us. This is done through studying functions, their properties, and applications to data analysis. Concepts of precalculus provide the set of tools for the learner to begin their scientific career, preparing them for future science and calculus courses. This specialization is designed for all learners, not just those interested in further mathematics courses.
-
Course by
-
Self Paced
-
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…
-
Course by
-
Self Paced
-
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.
-
Course by
-
Self Paced
-
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.
-
Course by
-
Self Paced
-
الإنجليزية
Crime Zone Heatmaps with Python and Folium
In this one hour long project-based course, you will tackle a real-world problem in data analysis and visualization. You will process a dataset of crime incidents in the city of Boston, and use this data to create an animated heatmap displaying crime hotspots.
Heatmaps use color to display a quantity that changes over two dimensions.
By the end of this project, you will have created heatmaps using code you will write in Python.
-
Course by
-
Self Paced
-
3 ساعات
-
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.
-
Course by
-
الإنجليزية
Information Visualization
This specialization provides learners with the necessary knowledge and practical skills to develop a strong foundation in information visualization and to design and develop advanced applications for visual data analysis…
-
Course by
-
Self Paced
-
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.
-
Course by
-
Self Paced
-
11 ساعات
-
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.
-
Course by
-
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.
-
Course by
-
Self Paced
-
7 ساعات
-
الإنجليزية
Data Wrangling with Python
This specialization covers various essential topics such as fundamental tools, data collection, data understanding, and data preprocessing. This specialization is designed for beginners, with a focus on practical exercises and case studies to reinforce learning. By mastering the skills and techniques covered in these courses, students will be better equipped to handle the challenges of real-world data analysis. The final project will give students an opportunity to apply what they have learned and demonstrate their mastery of the subject.
-
Course by
-
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.
-
Course by
-
Self Paced
-
3 ساعات
-
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.
-
Course by
-
التعلم الذاتي
-
21
-
الإنجليزية