The Data Analyst program belongs to the field of Artificial Intelligence.
The Data Analyst Bootcamp will provide you with the ability to handle vast amounts of data. Over the course of the program, you will gain a deep understanding of tools and techniques that will allow you to filter the important information and tailor it to the requirements of your clients or the company you work for.
During the studies of the Data Analyst program, you will encounter real-life situations and problems. We focus on teaching techniques according to the latest market requirements, so that by the end of the program, the student can present a diverse portfolio with up-to-date knowledge, ready and well-prepared to enter the job market with a promising career.
Having the ability to harness the power of algorithms for the sake of deriving business insights, along with practical experience involving advanced programming skills can lead to high achievements and leadership in the business world.
In addition, in the 21st century, due to global development and growing international competition, there is a very high demand for rapid and innovative development processes while creating high-quality and intelligent products.
Companies aiming to be at the forefront of the industry must know how to handle vast amounts of information or, more accurately, how to leverage the power of algorithms to utilize this data for business purposes.
The Data Analyst Bootcamp for beginners does not require a bachelor's degree or specific prior studies in the field of artificial intelligence or any specialized training. Nevertheless, a basic familiarity with the world of computers is required.
A data analyst is a professional responsible for collecting, organizing, and analyzing large amounts of data to make meaningful decisions. Data analysts utilize their analytical skills to identify patterns and trends within the data that can be used to improve business operations and inform decision-making.
A data analyst is also responsible for creating reports and visualizations that help businesses better understand their data. With the growing amount of data available in today's digital world, the role of a data analyst becomes increasingly important in assisting businesses in making informed decisions.
The role of a programmer-data analyst, within the field of machine learning, involves building algorithms to construct analytical models that "assist" computers in learning from accessible data, thereby optimizing processes, performing complex tasks to derive business insights, analyzing medical science, voice analysis and recognition, and more.
The profession of a data analyst combines professional knowledge, logical and analytical thinking, business intuition, curiosity, and creativity, alongside opportunities for advancement and professional development, including higher salaries and a promising career.
The work of a data analyst is divided into 4 main stages:
1. Data Acquisition and Sorting — typically, data is sourced from a wide variety of sources.
2. Data Exploration and Relevance Filtering.
3. Analytical Analysis and Conclusions Drawing.
4. Presentation of the Data.
Alex Shoihat
Head of Machine Learning
Alex holds a bachelor's degree in Information Systems (B.Sc.) and a master's degree in Electrical and Electronics Engineering.
Alex is a Machine Learning Engineer at RT. He specializes in the AI field, with over 13 years of experience in project development, management, and transitioning from development to production in various domains such as Linux Embedded.
Alex has experience working with the integration of Machine Learning and Deep Learning in the Computer Vision and Data Analysis field.
The Data Analyst Certification program is made up of a number of courses (modules).
We know that each of us arrives with a different background and level of knowledge. In order to tailor the content to best fit your needs, you can choose the track that is most suitable for you:
Data Analyst Certification studies at the college are currently conducted online.
This track includes all the courses in the program and is designed to make you an expert in the field.
This track includes only the courses and content specifically designed for the Data Analyst Certification program.
This track allows you to select only the specific courses and content that you are interested in and wish to complete.
| Software Programming Courses | |||||
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| Python | 90 academic hours |  Comprehensive Track |
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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 | 30 academic hours | Comprehensive Track |
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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 | 35 academic hours | Comprehensive Track |
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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) | 25 academic hours | Comprehensive Track |
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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 | |||||
| Scientific Python | 30 academic hours | Comprehensive Track |
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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. | |||||
| General Data Visualization | 20 academic hours | Comprehensive Track |
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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 | 20 academic hours | Comprehensive Track |
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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 | 20 academic hours | Comprehensive Track |
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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 Course with Excel | 20 academic hours | Comprehensive Track |
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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 | 20 academic hours | Comprehensive Track |
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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. | |||||
Requirements for eligibility for the certificate:
Upon successful completion of the Data Analyst program, you will be awarded a Data Analyst Certificate by RTG. This certificate will attest to your high level of knowledge and professionalism.
Pay your tuition in advance through self-payment or with the help of your employer.
Numerous employers provide financial assistance for coding programs, so it is advisable to inquire with your employer regarding tuition support.
Some students turn to personal loans to fund their coding education.
A diverse range of personal lending choices is at your disposal for careful consideration and assessment. Should you opt for a personal loan, be sure to select the one that aligns most effectively with your individual circumstances and financial goals.
Your eligibility for various government aid and scholarship programs may vary depending on your location.
As such, it is recommended that you explore the options and inquire about any scholarships or financial aid opportunities available.
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.
The estimated total pay for a Entry Level Data Analyst is $67,522 per year in the United States area, with an average salary of $60,177 per year.
Source: glassdoor.com
