Jumpstart your career in data analytics with our Data Analyst online course, designed to develop essential analytical skills for deriving insights from data.
The course aims to equip participants with the foundational data analysis techniques and tools necessary to succeed in roles that demand precision, insight, and strategic data use. This program focuses on statistical analysis, data manipulation, and visualization techniques using industry-standard tools such as Excel, SQL, Python, and Tableau. You’ll learn to interpret complex data sets, create meaningful visualizations, and make data-driven decisions that impact business outcomes.
Data Analyst Track: From Novice to Expert
Launch your career in Data Analyst with our most comprehensive educational track. This program is meticulously designed to provide you with an all-encompassing understanding of the field, ensuring you achieve the highest level of expertise.
Key Features:
This track is your gateway to becoming a proficient Data Analyst expert, equipping you with the knowledge, skills, and hands-on experience needed to excel in this rapidly evolving and in-demand area of technology.
| Software Programming Courses | Course duration | |
|---|---|---|
| Python Course | 90 academic hours | |
The focus is on Python 3, aiming to provide the knowledge and experience required for programming real-world applications in an object-oriented industry. You will learn how to develop software using Python. You will be taught techniques and appropriate tools to professionally develop high-level Python programs suitable for high-tech companies. This is a very practical course in which we will also be using circuit boards. Python is currently considered one of the most popular and sought-after programming languages in the IT industry. Its popularity and widespread use in various industry projects make Python one of the most demanded programming courses. The high demand and diverse employment opportunities make Python highly beneficial to specialize in for a rewarding professional career with multiple growth opportunities. | ||
| SQL Course | 30 academic hours | |
In this course, you will learn and practice SQL (Structured Query Language) and gain thorough familiarity with MySQL. The goal of the course is to learn how to communicate and perform various operations with the database. Most software operates with large amounts of data in the background. Nowadays, this data can be stored in different types of databases, like MySQL or Oracle in the backend. During software testing, some of this data needs to be verified, for example, to check if the relevant data is stored correctly in the databases. Therefore, knowledge of database basics and SQL queries is essential. In the course, we will cover topics such as SQL Formal Definitions, The Relational Model, SQL Key Notes, SQL Properties, SQL User Objective, Data Definition Language, and more. | ||
| AWS Course | 35 academic hours | |
The course is designed to help you gain a deep understanding of the architectural principles and services of Amazon Web Services (AWS). You will learn how to design and deploy AWS cloud applications using recommended best practices endorsed by Amazon. | ||
| GIT (Version Control) Course | 25 academic hours | |
Git is an open-source version control system that serves as a tool for managing code versions and the software development process. Its primary purpose is to help developers efficiently manage code and track changes in software files. In this course, you will learn the core features of Git, workflow techniques, and methods to undo changes or maintain multiple project versions. Additionally, you'll discover how to collaborate effectively with other teams and developers. Designed for programmers seeking the best and most suitable way to manage code development versions, the course covers essential workflow principles, core features, version control, collaboration, and more. | ||
| Data Analyst Dedicated | Course duration | |
| Scientific Python Course | 30 academic hours | |
The "Scientific Python" course at RTG College is part of an advanced learning program that equips students with the necessary skills for advanced analysis of scientific data. Throughout the course, students develop proficiency in the Python programming language and practice using libraries like NumPy, Pandas, and Matplotlib for data processing and analysis. The knowledge is conveyed through hands-on projects, allowing students to apply the knowledge and develop solution-focused abilities in a practical environment. At the end of the course, students conduct in-depth analysis and present their findings in a final project. The course provides you with the tools for breakthroughs in the complex world of data analysis. | ||
| Data Visualization Course | 20 academic hours | |
The "General Data Simulation Course" at RTG College offers an in-depth program in data visualization and statistical analysis. The course teaches students about the capabilities of simulation, analysis, and understanding data techniques using tools like R and Python. Throughout the course, students engage in developing a profound comprehension of various data types, statistical topics, and probability. The course emphasizes practical application, where students utilize real-world data for practicing simulation stages, analysis, and presenting findings. Through the course, they learn to identify, understand, and professionally utilize data, efficiently arriving at solutions. | ||
| Data Visualization with Tableau Course | 20 academic hours | |
RTG College offers a Data Simulation Course with Tableau, focusing on developing efficient skills in presenting and analyzing complex data. The course specializes in training students to utilize the Tableau tool for creating impressive, research-oriented, and business-relevant visualizations. The curriculum includes familiarity with diverse data applications in various fields, as well as an emphasis on personalized visualization capabilities and solving intricate problems using data engineering knowledge. Students acquire the knowledge and tools to derive intelligence from data and support data-driven business decisions through in-depth analysis and clear presentation. | ||
| A/B Testing Course | 20 academic hours | |
The college offers a Testing Course that focuses on training data analysts to conduct thorough and precise data testing. The course covers processes of preparation, planning, and execution of statistical tests and analyses aimed at examining data effects, insights, and decomposition. Students use tools and software like R and Python for advanced data analysis. The course includes practical exercises and projects that immerse students in the reality of data analysis and finding data-driven solutions to diverse problems. This equips students with the necessary knowledge and skills for advanced data processing, understanding analysis results, and facilitating a swift entry into the world of technology. | ||
| Data Analysis with Excel Course | 20 academic hours | |
The Data Analysis with Excel Course at RTG College is a comprehensive learning program that covers fundamentals and tools for advanced data analysis using an in-depth dive into Excel. Throughout the course, students learn how to analyze and track data techniques using functions, dynamic tables, and other powerful tools within Excel. The course focuses on tabular data analysis, calculation procedures, statistical analysis, and presenting results in a clear and straightforward manner. | ||
| Data Analysis with Power BI Course | 20 academic hours | |
The Power BI Data Analysis Course is an advanced learning program that equips students to analyze and present complex data using the advanced Power BI tool. Throughout the course, students learn efficient use of Power BI to create impressive visualizations, analytical reports, and more. The learning includes fundamental principles of writing in DAX, a formula language for creating measures and establishing connections between data. Students engage in practical projects that provide them with tools to apply knowledge and derive deep insights from business data. The course develops highly advanced skills in data analysis and presentation across a variety of domains. | ||
Customizable Data Analyst Expertise Track
Tailor your tech education with our flexible, modular program. This track allows you to focus on specific areas of interest, creating a personalized learning journey.
Key Features:
| Software Programming Courses | Course duration | |
|---|---|---|
| Python Course | 90 academic hours | |
The focus is on Python 3, aiming to provide the knowledge and experience required for programming real-world applications in an object-oriented industry. You will learn how to develop software using Python. You will be taught techniques and appropriate tools to professionally develop high-level Python programs suitable for high-tech companies. This is a very practical course in which we will also be using circuit boards. Python is currently considered one of the most popular and sought-after programming languages in the IT industry. Its popularity and widespread use in various industry projects make Python one of the most demanded programming courses. The high demand and diverse employment opportunities make Python highly beneficial to specialize in for a rewarding professional career with multiple growth opportunities. | ||
| SQL Course | 30 academic hours | |
In this course, you will learn and practice SQL (Structured Query Language) and gain thorough familiarity with MySQL. The goal of the course is to learn how to communicate and perform various operations with the database. Most software operates with large amounts of data in the background. Nowadays, this data can be stored in different types of databases, like MySQL or Oracle in the backend. During software testing, some of this data needs to be verified, for example, to check if the relevant data is stored correctly in the databases. Therefore, knowledge of database basics and SQL queries is essential. In the course, we will cover topics such as SQL Formal Definitions, The Relational Model, SQL Key Notes, SQL Properties, SQL User Objective, Data Definition Language, and more. | ||
| AWS Course | 35 academic hours | |
The course is designed to help you gain a deep understanding of the architectural principles and services of Amazon Web Services (AWS). You will learn how to design and deploy AWS cloud applications using recommended best practices endorsed by Amazon. | ||
| GIT (Version Control) Course | 25 academic hours | |
Git is an open-source version control system that serves as a tool for managing code versions and the software development process. Its primary purpose is to help developers efficiently manage code and track changes in software files. In this course, you will learn the core features of Git, workflow techniques, and methods to undo changes or maintain multiple project versions. Additionally, you'll discover how to collaborate effectively with other teams and developers. Designed for programmers seeking the best and most suitable way to manage code development versions, the course covers essential workflow principles, core features, version control, collaboration, and more. | ||
| Data Analyst Dedicated | Course duration | |
| Scientific Python Course | 30 academic hours | |
The "Scientific Python" course at RTG College is part of an advanced learning program that equips students with the necessary skills for advanced analysis of scientific data. Throughout the course, students develop proficiency in the Python programming language and practice using libraries like NumPy, Pandas, and Matplotlib for data processing and analysis. The knowledge is conveyed through hands-on projects, allowing students to apply the knowledge and develop solution-focused abilities in a practical environment. At the end of the course, students conduct in-depth analysis and present their findings in a final project. The course provides you with the tools for breakthroughs in the complex world of data analysis. | ||
| Data Visualization Course | 20 academic hours | |
The "General Data Simulation Course" at RTG College offers an in-depth program in data visualization and statistical analysis. The course teaches students about the capabilities of simulation, analysis, and understanding data techniques using tools like R and Python. Throughout the course, students engage in developing a profound comprehension of various data types, statistical topics, and probability. The course emphasizes practical application, where students utilize real-world data for practicing simulation stages, analysis, and presenting findings. Through the course, they learn to identify, understand, and professionally utilize data, efficiently arriving at solutions. | ||
| Data Visualization with Tableau Course | 20 academic hours | |
RTG College offers a Data Simulation Course with Tableau, focusing on developing efficient skills in presenting and analyzing complex data. The course specializes in training students to utilize the Tableau tool for creating impressive, research-oriented, and business-relevant visualizations. The curriculum includes familiarity with diverse data applications in various fields, as well as an emphasis on personalized visualization capabilities and solving intricate problems using data engineering knowledge. Students acquire the knowledge and tools to derive intelligence from data and support data-driven business decisions through in-depth analysis and clear presentation. | ||
| A/B Testing Course | 20 academic hours | |
The college offers a Testing Course that focuses on training data analysts to conduct thorough and precise data testing. The course covers processes of preparation, planning, and execution of statistical tests and analyses aimed at examining data effects, insights, and decomposition. Students use tools and software like R and Python for advanced data analysis. The course includes practical exercises and projects that immerse students in the reality of data analysis and finding data-driven solutions to diverse problems. This equips students with the necessary knowledge and skills for advanced data processing, understanding analysis results, and facilitating a swift entry into the world of technology. | ||
| Data Analysis with Excel Course | 20 academic hours | |
The Data Analysis with Excel Course at RTG College is a comprehensive learning program that covers fundamentals and tools for advanced data analysis using an in-depth dive into Excel. Throughout the course, students learn how to analyze and track data techniques using functions, dynamic tables, and other powerful tools within Excel. The course focuses on tabular data analysis, calculation procedures, statistical analysis, and presenting results in a clear and straightforward manner. | ||
| Data Analysis with Power BI Course | 20 academic hours | |
The Power BI Data Analysis Course is an advanced learning program that equips students to analyze and present complex data using the advanced Power BI tool. Throughout the course, students learn efficient use of Power BI to create impressive visualizations, analytical reports, and more. The learning includes fundamental principles of writing in DAX, a formula language for creating measures and establishing connections between data. Students engage in practical projects that provide them with tools to apply knowledge and derive deep insights from business data. The course develops highly advanced skills in data analysis and presentation across a variety of domains. | ||
Payment Plans
As Low As
$330/Month
Alex Shoihat
Head of Machine Learning
Alex holds a B.Sc. in Information Systems and an M.A. in Electrical and Electronic Engineering.
As a Machine Learning Engineer at Embedded Academy, Alex specializes in the field of artificial intelligence, applying over 13 years of experience in project development, management, and transitioning from development to production in various domains such as Linux Embedded.
Throughout his career, Alex developed his expertise working with the integration of Machine Learning and Deep Learning in the Computer Vision and Data Analysis field.
Students must complete the following to be eligible for Data Analyst certification:
As part of the professional experience each graduate undergoes we help in integrating them into the high-tech world through our job search assistance, personalized resume building, and placement in a technology company.
1
Curriculum customization
We'll help you choose and structure the right program most suitable for your needs and career aspirations.
2
Tech Training
Students who start with no prior knowledge of the field will receive the fundamentals required to complete the course.
3
Final Project
Working on your course project and internship with experienced developers.
4
Internship
Get real-world experience adapted to industry standards and requirements with our team of industry-leading engineers.
5
Job Interview
Graduates get resume-building assistance, interview simulations and career guidance.
Sarah L.
Machine Learning course graduate
AI/ML developer
.webp)
Paul N.
Machine Learning course graduate
Machine Learning Engineer
.webp)
Howard E.
AI course graduate
AI Product Manager
.webp)
Greg B.
Machine Learning course graduate
Robotics and Automation Specialist
.webp)
Leonard H.
AI course graduate
Natural Language Processing (NLP) Specialist
The admission requirements for the Artificial Intelligence Development program are as follows:
Professional knowledge interview + examination.
Background and/or experience in development.
Engineers and graduates in the field of sciences — an advantage.
Knowledge and experience with the Linux operating system — an advantage.
The field of data analysis is gaining more and more significance across a wide range of life's domains. As a result, the demand from tech companies for skilled professionals in this field is on the rise. Leading companies in industries such as finance, healthcare, security, autonomous vehicle development, and more are constantly seeking skilled data analysts.
Homework assignments, portfolio development, and knowledge assessments are part of the course structure and are designed to align with industry requirements and provide professionally taught material and relevant knowledge according to the demands of the tech industry.
Currently, all classes in the Data Analyst program take place online.
