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 | |
Focusing on Python 3, you’ll learn to program object-oriented, real-industry applications. | ||
| SQL Course | 30 academic hours | |
SQL is a special-purpose programming language designed for managing data in a relational database. Learn how to use SQL to store, query, and manipulate data. | ||
| AWS Course | 35 academic hours | |
Gain an in-depth understanding of Amazon Web Services architectural principles and services, design and scale AWS Cloud implementations with best practices recommended by Amazon. | ||
| GIT (Version Control) Course | 25 academic hours | |
Learn Git’s core features and workflow, different ways to undo changes or save multiple versions, and collaborate with other teams and developers. | ||
| Data Analyst Dedicated | Course duration | |
| Scientific Python Course | 30 academic hours | |
Python offers a wide range of libraries used for ML (NumPy, SciPy, Matplotlib, Pandas, etc.) The course teaches how to use these libraries and simplifies the developer's ability to write advanced and reliable code | ||
| Data Visualization Course | 40 academic hours | |
The "General Data Simulation Course" at the 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 | |
the 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 the 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. | ||
Tuition
$9,900
$13,677
Data Analyst Specialist Track
Elevate your software development expertise with our focused Data Analyst program. This track is carefully crafted for professionals with prior experience in software and application development, aiming to sharpen your skills in this specialized domain.
Key Features:
This track offers a streamlined path to mastering Data Analyst , ideal for seasoned developers looking to expand their expertise or pivot into this high-demand field. Gain the specific knowledge and skills needed to excel in Data Analyst development and stand out in the competitive tech industry.
| Data Analyst Dedicated | Course duration | |
|---|---|---|
| Scientific Python Course | 30 academic hours | |
Python offers a wide range of libraries used for ML (NumPy, SciPy, Matplotlib, Pandas, etc.) The course teaches how to use these libraries and simplifies the developer's ability to write advanced and reliable code | ||
| Data Visualization Course | 40 academic hours | |
The "General Data Simulation Course" at the 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 | |
the 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 the 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 Departments
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
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Paul N.
Machine Learning course graduate
Machine Learning Engineer
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Howard E.
AI course graduate
AI Product Manager
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Greg B.
Machine Learning course graduate
Robotics and Automation Specialist
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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.
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