SQL,
Àpd 61.03 € /h
This course provides a step-by-step overview and instructions that help you get started with the SQL language. We use MSSQL, but you can use this course to get started with understanding data structures and techniques for all SQL engines including Access, Oracle and MySQL. We show you how to create SQL statements including SELECT, DELETE, UPDATE and INSERT. Then, we show you how to create and design tables. We show you how to create stored procedures, which allow you to run the same SQL statement multiple times without reprogramming your database. Finally, we show you how to use cursors, use transactions to preserve data integrity, and creating views for larger data sets.
Lieu
En ligne depuis Israël
Présentation
Led software projects and machine learning algorithms that solve real-life problems from scratch into production.
8 years of experience with software engineering , algorithm development and customer-facing experience.
Professional mentor and technical consultant; completed 220+ mentoring sessions with 5.0/5.0 rating on codementor.io; have been selected for 7 times as featured mentor of the week.
Developed ML algorithms for prediction of customer purchase behavior, customer segmentation, and future purchase status.
Masters graduate in computer vision and machine learning; introduced a new method of Multiple Object Tracking using Kernelized Correlation Filters which increased tracking accuracy by 4%.
8 years of experience with software engineering , algorithm development and customer-facing experience.
Professional mentor and technical consultant; completed 220+ mentoring sessions with 5.0/5.0 rating on codementor.io; have been selected for 7 times as featured mentor of the week.
Developed ML algorithms for prediction of customer purchase behavior, customer segmentation, and future purchase status.
Masters graduate in computer vision and machine learning; introduced a new method of Multiple Object Tracking using Kernelized Correlation Filters which increased tracking accuracy by 4%.
Education
Bahçeşehir Üniversitesi
M.A. of Computer Engineering
2014 – 2017
Areas of Study: Computer Vision. Artificial Intelligence. Machine Learning. Cyber Security. Network Cryptography
Birzeit University
B.A. of Computer Engineering
2007 – 2012
M.A. of Computer Engineering
2014 – 2017
Areas of Study: Computer Vision. Artificial Intelligence. Machine Learning. Cyber Security. Network Cryptography
Birzeit University
B.A. of Computer Engineering
2007 – 2012
Expérience / Qualifications
Lead Software Engineer
Nov 2020 - Present (3 years 1 month)
Leading the technical design and implementation of a SAAS AI-based IT support tickets automatic
routing service. In addition to data ETL process and customer-facing follow up and support.
Technologies: Python, PostgreSQL, Node.js, Google Cloud GCP, Containers, Kubernetes,
Microservices, Airflow, Git
R&D Team Lead
2019 - Aug 2020 (1 year)
Leading a team of 4 developers in full-stack development and architecture of an e-commerce live
solution. In addition, developing machine learning algorithms for prediction of customer behavior.
Technologies: Node.js, Python, AWS, MongoDB, Redis, MySQL
Mentor
Codementor
Aug 2018 - Jul 2020 (2 years)
Providing software and technical consultancy, mentorship and support through one-to-one live sessions
for tasks in various technologies and programming languages.
Achieved more than 220 sessions with a rating of 5.0/5.0, and have been selected as a "Featured
Mentor" for six times.
Senior Software Developer
2017 - Jun 2018 (1 year)
Design, development and maintenance at 3 e-commerce projects. Starting from system design of
entities and components to implementation and maintenance.
Technologies: .NET, C#, SQL, Entity Framework, Blockchain Network, JavaScript, HTML, CSS
Achievements:
- Design and implementation of a Bitcoin mining web platform and Blockchain transaction
- Implementation and maintenance for e-commerce website
Full Stack Developer
2015 - 2017 (2 years)
Development and maintenance for e-commerce web site. Implementing payment methods API’s and all
other forms and views.
Technologies: .NET, C#, SQL,Javascript, HTML, CSS
Achievements:
o Integrated multiple payment methods and services: Papara, Wirecard Mobile Payment, Inininal
o Created new Coupon system for discounts and mailing and SMS messaging system for automated
daily messages
Software Engineer
May 2011 - Feb 2014 (2 years 10 months)
Worked on Cisco’s classification engine that recognizes a wide variety of applications, including webbased and other difficult-to-classify protocols that utilize dynamic TCP/UDP port assignments
Built Web applications in JavaScript. The application was used by company’s customers to display and
monitor web traffic and show different details in charts and tables
Nov 2020 - Present (3 years 1 month)
Leading the technical design and implementation of a SAAS AI-based IT support tickets automatic
routing service. In addition to data ETL process and customer-facing follow up and support.
Technologies: Python, PostgreSQL, Node.js, Google Cloud GCP, Containers, Kubernetes,
Microservices, Airflow, Git
R&D Team Lead
2019 - Aug 2020 (1 year)
Leading a team of 4 developers in full-stack development and architecture of an e-commerce live
solution. In addition, developing machine learning algorithms for prediction of customer behavior.
Technologies: Node.js, Python, AWS, MongoDB, Redis, MySQL
Mentor
Codementor
Aug 2018 - Jul 2020 (2 years)
Providing software and technical consultancy, mentorship and support through one-to-one live sessions
for tasks in various technologies and programming languages.
Achieved more than 220 sessions with a rating of 5.0/5.0, and have been selected as a "Featured
Mentor" for six times.
Senior Software Developer
2017 - Jun 2018 (1 year)
Design, development and maintenance at 3 e-commerce projects. Starting from system design of
entities and components to implementation and maintenance.
Technologies: .NET, C#, SQL, Entity Framework, Blockchain Network, JavaScript, HTML, CSS
Achievements:
- Design and implementation of a Bitcoin mining web platform and Blockchain transaction
- Implementation and maintenance for e-commerce website
Full Stack Developer
2015 - 2017 (2 years)
Development and maintenance for e-commerce web site. Implementing payment methods API’s and all
other forms and views.
Technologies: .NET, C#, SQL,Javascript, HTML, CSS
Achievements:
o Integrated multiple payment methods and services: Papara, Wirecard Mobile Payment, Inininal
o Created new Coupon system for discounts and mailing and SMS messaging system for automated
daily messages
Software Engineer
May 2011 - Feb 2014 (2 years 10 months)
Worked on Cisco’s classification engine that recognizes a wide variety of applications, including webbased and other difficult-to-classify protocols that utilize dynamic TCP/UDP port assignments
Built Web applications in JavaScript. The application was used by company’s customers to display and
monitor web traffic and show different details in charts and tables
Age
Enfants (7-12 ans)
Adolescents (13-17 ans)
Adultes (18-64 ans)
Seniors (65+ ans)
Niveau du Cours
Débutant
Intermédiaire
Durée
45 minutes
60 minutes
Enseigné en
anglais
arabe
hébreu
turc
Compétences
Commentaires
Disponibilité semaine type
(GMT -05:00)
New York
Cours par webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
Machine Learning is a first-class ticket to the most exciting careers in data analysis today. As data sources proliferate along with the computing power to process them, going straight to the data is one of the most straightforward ways to quickly gain insights and make predictions.
Machine learning brings together computer science and statistics to harness that predictive power. It’s a must-have skill for all aspiring data analysts and data scientists or anyone else who wants to wrestle all that raw data into refined trends and predictions.
This is a class that will teach you the end-to-end process of investigating data through a machine learning lens. It will teach you how to extract and identify useful features that best represent your data, a few of the most important machine learning algorithms, and how to evaluate the performance of your machine learning algorithms.
Machine learning brings together computer science and statistics to harness that predictive power. It’s a must-have skill for all aspiring data analysts and data scientists or anyone else who wants to wrestle all that raw data into refined trends and predictions.
This is a class that will teach you the end-to-end process of investigating data through a machine learning lens. It will teach you how to extract and identify useful features that best represent your data, a few of the most important machine learning algorithms, and how to evaluate the performance of your machine learning algorithms.
Learning computer programming for university students in all levels. Could be very basic or for advanced courses. Suitable for reinforcement for university courses of: Java. Object Oriented, Data Structure, Advanced Java, Software Engineering, Database, Web Development.. etc. Can be given in: Java, C, C#, Javascript
Course Outline:
Section 1 - Getting Started
Java Basics
Data Types
Arrays and References
Operators and Constructs
Java Objects
Dynamic Memory Allocation
Java Methods
Java Strings
Section 2 - Cla1sses and Objects
Class Design
Fields and Access Control
Constructors
Method Overloading
Static Methods
Inheritance
Method Overriding
Using final and super
Abstract Classes and Methods
Dynamic Binding
Polymorphism
Section 3 - Working with Classes
Using instanceof
Interfaces
Exception Handling
Exception Objects
throw points, throws clause
try, catch, finally
Section 4 - User Interfaces
Window Applications
Layout Managers
Event Handlers and Listeners
Anonymous Classes and Lambdas
Java Swing APIs
Basic GUI Controls
Menus and MenuBars
Section 5 - Generics and Collections
Why Use Generics?
Generic Classes and Interfaces
Generic Iterators
Collections
ArrayList, LinkedList, HashMap
Section 6 - Threads
Thread States
Extending the Thread class
Timer Thread
Implementing the Runnable interface
Section 7 - File I/O
Input and Output Streams
Binary and Text Files
Files and Directory Methods
Course Outline:
Section 1 - Getting Started
Java Basics
Data Types
Arrays and References
Operators and Constructs
Java Objects
Dynamic Memory Allocation
Java Methods
Java Strings
Section 2 - Cla1sses and Objects
Class Design
Fields and Access Control
Constructors
Method Overloading
Static Methods
Inheritance
Method Overriding
Using final and super
Abstract Classes and Methods
Dynamic Binding
Polymorphism
Section 3 - Working with Classes
Using instanceof
Interfaces
Exception Handling
Exception Objects
throw points, throws clause
try, catch, finally
Section 4 - User Interfaces
Window Applications
Layout Managers
Event Handlers and Listeners
Anonymous Classes and Lambdas
Java Swing APIs
Basic GUI Controls
Menus and MenuBars
Section 5 - Generics and Collections
Why Use Generics?
Generic Classes and Interfaces
Generic Iterators
Collections
ArrayList, LinkedList, HashMap
Section 6 - Threads
Thread States
Extending the Thread class
Timer Thread
Implementing the Runnable interface
Section 7 - File I/O
Input and Output Streams
Binary and Text Files
Files and Directory Methods
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