DATA
ניהול נתונים הפך לתחום מרכזי בעולמות הטכנולוגיים ובכלל.
הניהול הזה מייצר מספר אתגרים משמעותיים - כיצד אוספים את המידע? כיצד מאחסנים אותו? כיצד מנהלים אותו? כיצד מנתחים אותו? כיצד שולפים אותו? וכיצד שומרים עליו בטוח? איך הופכים את המידע לבעל ערך עבור הארגון? על כל אלה אמונים אנשי הDATA ולכן התפקיד שלהם בארגון הוא כל כך חשוב
SQL
40 Academic hours
Information is all around us.
You can put it to use by learning SQL basics. Used in data science, analytics, and engineering, SQL makes it easy to work with data and make more informed strategy, operations, and business decisions. It’s a helpful skill for anyone who works with data (even in non-tech roles). In this SQL course, you’ll learn how to manage large datasets and analyze real data.
Advanced SQL
40 Academic hours
This course on advanced SQL for data analysis has everything that isn't covered in introductory SQL courses.The curriculum goes DEEP, spanning all the advanced techniques you'll ever need to wrangle and analyze data in the fastest and most efficient way possible.And these concepts aren't presented in isolation; everything is taught in the context of real-world analytics scenarios, meaning you'll be ready to apply these techniques on the job from day one.
Elasticsearch
40 Academic hours
This Elasticsearch course is a combination of theory and learning by doing. Before giving examples of how to perform certain queries, you will have been equipped with the necessary theory in advance. This ensures that you not only know how to write powerful Elasticsearch queries, but that you also understand the relevant theory. Throughout this tutorial, you will get a deep
The course starts from the absolute beginning, and no knowledge or prior experience with Elasticsearch is required. We will walk through all of the most important aspects of Elasticsearch.
Power BI
40 Academic hours
Power BI is a unified, scalable platform for self-service and enterprise business intelligence (BI). Connect to and visualize any data, and seamlessly infuse the visuals into the apps you use every day.
Tableau
40 Academic hours
Tableau is a powerful business intelligence and data visualization tool. It is extensively used for creating and distributing highly interactive and powerful reports and dashboards that depict the data in a visually appealing form like trends, variations, charts, graphs, plots, and so on
Big Data Analytics
40 Academic hours
Gain essential skills in today's digital age to store, process and analyse data to inform business decisions. In this course you will develop your knowledge of big data analytics and enhance your programming and mathematical skills
Hadoop & Spark
32 Academic hours
As humans, we are immersed in data in our every-day lives. As per IBM, the data doubles every two years on this planet. The value that data holds can only be understood when we can start to identify patterns and trends in the data. Normal computing principles do not work when data becomes huge.
There is massive growth in the big data space, and job opportunities are skyrocketing, making this the perfect time to launch your career in this space.
In this specialization, you will learn Hadoop and Spark to drive better business decisions and solve real-world problems.
Oracle Database: Introduction to SQL
40 Academic hours
Structured Query Language (SQL) is the set of statements with which all programs and users access data in an Oracle database. Application programs and Oracle tools often allow users access to the database without using SQL directly, but these applications in turn must use SQL when executing the user's request.
Mongo DB 4.x Core Training
24 Academic hours
The Introduction to MongoDB course guides you through the foundational skills and knowledge you need to get started with MongoDB. This includes connecting to a MongoDB database, how to conduct simple CRUD operations, and key topics such as aggregation, indexing, data modeling, and transactions.
Data Analysis with Python
32 Academic hours
This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Serie
Big Data Architects
124 Academic hours
Big Data Architect Masters Program makes you proficient in tools and systems used by Big Data experts.
The Big Data Architecture course is comprised of three modules that delve into design techniques, technology architecture models and patterns associated with building and integrating Big Data solutions within enterprise and cloud environments.
ChatGPT Workshop for Data Engineers
12 Academic hours
The workshop provides a comprehensive overview of the OpenAI API and its utilization. It explores the roles and definitions within the system, user, assistant, and function context. The workshop delves into the capabilities of the OpenAI API, including natural language processing, language translation, chatbot development, and content generation.
Data Visualization
24 Academic hours
Data visualization allows you to make the complex simple, the abstract tangible, and the invisible visible. In this course, you will learn how to think about your data, your audience, and your goals to create visuals that maximize impact. Plus, learn about human visual perception and chart selection strategies, which make all the difference when visualizing data.