Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
دوراتنا
Fundamentals of Scalable Data Science
Apache Spark is the de-facto standard for large scale data processing. This is the first course of a series of courses towards the IBM Advanced Data Science Specialization. We strongly believe that is is crucial for success to start learning a scalable data science platform since memory and CPU constraints are to most limiting factors when it comes to building advanced machine learning models.\n\nIn this course we teach you the fundamentals of Apache Spark using python and pyspark.
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Course by
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Self Paced
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22 ساعات
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الإنجليزية
3D Data Visualization for Science Communication
This course is an introduction to 3D scientific data visualization, with an emphasis on science communication and cinematic design for appealing to broad audiences.
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Course by
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Self Paced
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32 ساعات
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الإنجليزية
Machine Learning: Classification
Case Studies: Analyzing Sentiment & Loan Default Prediction In our case study on analyzing sentiment, you will create models that predict a class (positive/negative sentiment) from input features (text of the reviews, user profile information,...). In our second case study for this course, loan default prediction, you will tackle financial data, and predict when a loan is likely to be risky or safe for the bank.
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Course by
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Self Paced
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21 ساعات
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الإنجليزية
Data Visualization with Tableau Project
In this project-based course, you will follow your own interests to create a portfolio worthy single-frame viz or multi-frame data story that will be shared on Tableau Public. You will use all the skills taught in this Specialization to complete this project step-by-step, with guidance from your instructors along the way. You will first create a project proposal to identify your goals for the project, including the question you wish to answer or explore with data. You will then find data that will provide the information you are seeking.
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Course by
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Self Paced
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12 ساعات
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الإنجليزية
Introduction to Business Analytics with R
Nearly every aspect of business is affected by data analytics. For businesses to capitalize on data analytics, they need leaders who understand the business analytic workflow. This course addresses the human skills gap by providing a foundational set of data processing skills that can be applied to many business settings. In this course you will use a data analytic language, R, to efficiently prepare business data for analytic tools such as algorithms and visualizations.
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Course by
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Self Paced
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17 ساعات
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الإنجليزية
Data Management and Visualization
Whether being used to customize advertising to millions of website visitors or streamline inventory ordering at a small restaurant, data is becoming more integral to success. Too often, we’re not sure how use data to find answers to the questions that will make us more successful in what we do. In this course, you will discover what data is and think about what questions you have that can be answered by the data – even if you’ve never thought about data before.
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Course by
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Self Paced
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12 ساعات
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الإنجليزية
Applied Plotting, Charting & Data Representation in Python
This course will introduce the learner to information visualization basics, with a focus on reporting and charting using the matplotlib library. The course will start with a design and information literacy perspective, touching on what makes a good and bad visualization, and what statistical measures translate into in terms of visualizations. The second week will focus on the technology used to make visualizations in python, matplotlib, and introduce users to best practices when creating basic charts and how to realize design decisions in the framework.
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Course by
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Self Paced
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24 ساعات
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الإنجليزية
Oral Communication for Engineering Leaders
Taught by Rice University communication faculty from the Rice Center for Engineering Leadership (RCEL). This course covers core topics in oral communication: Communication strategy, content, data visualization, and delivery.
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Course by
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Self Paced
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24 ساعات
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الإنجليزية
Data Visualization and Communication with Tableau
One of the skills that characterizes great business data analysts is the ability to communicate practical implications of quantitative analyses to any kind of audience member. Even the most sophisticated statistical analyses are not useful to a business if they do not lead to actionable advice, or if the answers to those business questions are not conveyed in a way that non-technical people can understand. In this course you will learn how to become a master at communicating business-relevant implications of data analyses.
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Course by
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التعلم الذاتي
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25 ساعات
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الإنجليزية
Engagement & Nurture Marketing Strategies
In this third course in the Social Marketing Specialization - "The Engagement & Nurture Marketing Strategies" - you will learn two of the most effective social strategies used by organizations today. You'll see real-world best practice examples and learn what metrics they use to gauge success. You will also learn the importance of infographics and the impact a well-designed landing page can have on your bottom line.
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Course by
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Self Paced
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9 ساعات
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الإنجليزية
Essential Design Principles for Tableau
In this course, you will analyze and apply essential design principles to your Tableau visualizations. This course assumes you understand the tools within Tableau and have some knowledge of the fundamental concepts of data visualization. You will define and examine the similarities and differences of exploratory and explanatory analysis as well as begin to ask the right questions about what’s needed in a visualization.
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Course by
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Self Paced
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13 ساعات
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الإنجليزية
Data Visualization
The specialization "Data Visualization" is intended for post-graduate students seeking to develop advanced data visualization skills. Through three comprehensive courses, you will explore foundational and specialized visualization techniques, including data representation, design principles, network visualization, and volume rendering. As organizations increasingly rely on data for decision-making, the ability to effectively visualize and analyze complex datasets is more valuable than ever.
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Course by
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Self Paced
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16 ساعات
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الإنجليزية
Introduction to Data, Signal, and Image Analysis with MATLAB
Welcome to Introduction to Data, Signal, and Image Analysis with MATLAB! MATLAB is an extremely versatile programming language for data, signal, and image analysis tasks. This course provides an introduction on how to use MATLAB for data, signal, and image analysis.
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Course by
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Self Paced
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23 ساعات
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الإنجليزية
Python Data Visualization
This if the final course in the specialization which builds upon the knowledge learned in Python Programming Essentials, Python Data Representations, and Python Data Analysis. We will learn how to install external packages for use within Python, acquire data from sources on the Web, and then we will clean, process, analyze, and visualize that data.
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Course by
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Self Paced
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9 ساعات
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الإنجليزية
Using Databases with Python
This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort. The course will use SQLite3 as its database. We will also build web crawlers and multi-step data gathering and visualization processes. We will use the D3.js library to do basic data visualization. This course will cover Chapters 14-15 of the book “Python for Everybody”.
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Course by
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Self Paced
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15 ساعات
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الإنجليزية
Introduction to Accounting Data Analytics and Visualization
Accounting has always been about analytical thinking. From the earliest days of the profession, Luca Pacioli emphasized the importance of math and order for analyzing business transactions. The skillset that accountants have needed to perform math and to keep order has evolved from pencil and paper, to typewriters and calculators, then to spreadsheets and accounting software. A new skillset that is becoming more important for nearly every aspect of business is that of big data analytics: analyzing large amounts of data to find actionable insights.
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Course by
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Self Paced
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21 ساعات
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الإنجليزية