ליצירת קשר
whatsapp
לימודי הייטק ב-INT LIVE
טלפון

Big Data with Hadoop and Spark

The term Big Data has been gaining popularity in recent years and has becoming a trend in the industry. The practical meaning of the term Big Data is technologies for analyzing and managing databases with unorganized data from many sources, in different quantities, and in varying qualities. Many solutions have been marketed to deal with this large amount of Data and many organizations find themselves preparing to enter this world. The leading solutions in the industry today is Spark and Hadoop, an efficient processing engine that on the one hand gives the organization flexibility in designing a solution tailored to the organization, and on the other hand is convenient and fast to use. In this course you will Learn the skills to use Apache Spark and Hadoop and practice the different components.

>>
Duration: Hours 40
Who should attend? DBA, BI Developers, Software\ Web Developers who wants to enter this world

Data Science with Python

In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal. By storing, filtering, managing, and manipulating data in Python, you can give your company a competitive edge & boost your career to the next level. This course will give you a robust grounding in all aspects of data science, from statistical modelling to visualization to machine learning. This course deep dive into the statistical modelling features of Python and gives you grounding in Python Data Science, from carrying out simple visualizations and data explorations to statistical analysis to machine learning to finally implementing simple deep learning-based models using Python. At the end of this course you will understand deep concepts like statistical modelling in Python’s Statsmodels package and the difference between statistics and machine learning

>>
Duration: Hours 40
Who should attend? Anyone Who Wishes To Learn Practical Data Science Using Python, Learn How To Implement Machine Learning Algorithms Using Python, or Looking To Get Started In Deep Learning Using Python. Prior Knowledge Of Python Will Be Useful But NOT Necessary

Introduction to Data Science

In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal. By storing, filtering, managing, and manipulating data in Python, you can give your company a competitive edge & boost your career to the next level. This course covers the aspects of practical data science using Python. In the end of this course, you’ll easily use packages like Numpy, Pandas, and Matplotlib to work with real data in Python.

>>
Duration: Hours 40
Who should attend? Anyone Who Wishes To Learn Practical Data Science Using Python, Learn How To Implement Machine Learning Algorithms Using Python, or Looking To Get Started In Deep Learning Using Python.

Developing SQL Databases

SQL Server is a database server by Microsoft. The Microsoft relational database management system is a software product which primarily stores and retrieves data requested by other applications. Therefore, a SQL Server is a database server that implements the Structured Query Language (SQL). This course provides students with the knowledge and skills to develop a Microsoft SQL Server database. The course focuses on teaching individuals how to use SQL Server product features and tools related to developing a database.

>>
Duration: Hours 40
Who should attend? Basic knowledge of the Microsoft Windows operating system and its core functionality, Working knowledge of Transact-SQL, Working knowledge of relational databases.
לקביעת שיחת ייעוץ חינם