Data Science

This Data Science course is designed to equip you with the skills and knowledge to analyze all types of data using Python libraries and build powerful AI models using machine learning algorithms.

What is a Data Scientist?

A Data Scientist is a data expert who analyzes large amounts of complex data using various methods and tools to extract meaningful insights. They utilize machine learning algorithms to develop AI models that solve real-world problems.

What does a Data Scientist do?

Data Collection: The journey begins with gathering data from diverse sources, including surveys, social media, websites, and more. Data can range from numerical and categorical to text, images, audio, and video.

Data Cleaning: Collected data often contains missing, erroneous, or irrelevant information. A Data Scientist meticulously "cleans" this data to make it ready for analysis.

Data Analysis: Cleaned data is then analyzed using Python's data analysis libraries, various data analysis software, statistical methods, and machine learning techniques. This analysis uncovers patterns and trends hidden within the data.

Modeling: Based on the insights gained from data analysis, a Data Scientist builds machine learning models to make predictions. This could involve tasks like forecasting customer behavior, predicting product demand, or identifying fraudulent transactions.

Presentation: The results of analyses and findings are communicated to stakeholders, helping companies and organizations make more informed and accurate decisions.

Why Data Science?

1. Booming Demand: According to the World Economic Forum's 2023 report, AI and Machine Learning expertise ranks as the number one emerging profession, with five out of the top ten jobs related to data science.
2. The Rise of Big Data: Over 90% of the world's data has been generated in the last few years. Data scientists are crucial for making sense of this massive data volume and turning it into actionable knowledge.
3. Data Explosion: In 2022, 94 zettabytes of data were created online (with 90% unstructured). This amount is projected to reach 181 zettabytes annually by 2025, emphasizing the need to process and analyze this vast data (Source: statista.com).
4. The Power of AI: Recent advancements in AI have propelled the importance of data science and machine learning skills, making them essential for success in today's technology-driven world.

Why Choose a Bootcamp?

Bootcamps are online educational institutions that quickly train professionals with the specific skills sought by companies in the IT and software industries. Our curriculum and teaching methods are designed based on industry demands and needs and are constantly updated. With this in mind, TechPro Education aims to provide you with the highest level of up-to-date knowledge and skills in data science and artificial intelligence, making you highly sought after in the industry through our Data Science course.

1. Bootcamps focus on practical skills and knowledge needed for real-world applications, eliminating unnecessary details. Our Data Science bootcamp helps you acquire the skills necessary to land a job in this field in a short timeframe, typically within 6-8 months.
2. Bootcamps go beyond just education, offering mentoring and career services to support you until you secure employment.
3. The shorter duration and online learning format of bootcamps make them a cost-effective option for aspiring data scientists.

Why TechPro Education?

1. Industry Expertise

TechPro Education founders have experience working for global IT companies like Bank of America, Mastercard, and Boats Group in the United States. We leverage our position at the heart of the industry to stay abreast of the latest trends and developments, incorporating them into our training instantly. This is why TechPro Education has been recognized as one of the top bootcamps of 2024 by the independent evaluation agency Career Carma.

2. Extensive Network

You will have the support of our vast network of technology and career-focused professionals, built over four years with thousands of graduates. This network will be there for you throughout your education and job search.

3. Career Support

Our career coaches are there for you from the start of your course until you secure employment, providing personalized career plans. We offer one-on-one support in essential areas like resume and CV writing, LinkedIn profile creation, and job interview preparation. We also host regular career talks with data science professionals in the United States to share their insights and experiences.

4. Mentorship Services

Our mentors are available weekly and anytime you need them. They provide personalized support, identify knowledge gaps, and help you solve challenges throughout your learning journey. They also offer guidance on projects you develop during the course and help you prepare for job interviews.

5. Technical Support

Our professional technical team is ready to assist you promptly with any technical issues, including setup and access, ensuring you focus on your education without any obstacles.

6. Small Study Groups

At TechPro Education, there's no room for concerns like "I didn't understand that" or "I fell behind in class." We create small study groups for students who need extra support or have fallen behind, ensuring no one gets left behind.

7. Rich Digital Documentation

We provide free access to digital documentation prepared by our expert instructors to reinforce the lessons, along with short videos organized by topic from our course recordings.

8. Project-Based Learning

You'll complete 20 Capstone projects throughout your education, developing your ability to solve real-world problems using data science. This practical experience will not only give you valuable hands-on skills but also build a portfolio that will impress employers.

9. Post-Course Internship Opportunities

We offer internship opportunities in the United States and Europe for graduating students who wish to gain practical experience. TechPro Education coordinates internships, including communication with companies and support for internship projects. These 2-4 month internships allow you to work on data analysis and predictive models, giving you valuable real-world experience.

10. Silicon Valley Project Opportunities

All graduates of our Data Science course have the opportunity to work on Silicon Valley artificial intelligence projects mentored by Stanford University professors. Students who successfully complete the interview process after the course receive a brief training period and are then assigned to relevant projects, beginning their careers in Silicon Valley companies. This opportunity is offered to TechPro Education graduates at a discounted rate.

11. University Degree from the UK

Through our partnership with Richmond College in the United Kingdom, all our graduates will receive a 2-year UK university degree without any additional coursework upon completion of TechPro Education. They will simply need to complete the assignments and exams set by Richmond College. If desired, students can study for just one year at Richmond College or another university in the UK to obtain a full bachelor's degree in "IT and Computing," recognized worldwide. Richmond College offers this opportunity to TechPro Education graduates at a discount of up to 60% of the regular tuition fees.

12. Extra Foreign Language Training

Through our collaboration with Lena Schools in the US, all students enrolled in our courses receive access to Rosetta Stone's 24 different foreign language courses, including English, completely free of charge.

13. Germany Job Center Collaboration

Thanks to our Job Center accreditation from Germany, students residing in Germany can now access TechPro Education courses completely FREE. Our German students can focus solely on their dream careers, free from financial and job-seeking worries, thanks to the Job Center-approved courses we offer.

How long will the course last?

Our Data Science course, including the final project, takes a total of 7 months to complete.

What topics are covered in the training?

Our course consists of two modules: Data Analysis and Artificial Intelligence. Each module lasts 3.5 months.

Data Analysis Module

IT Fundamentals

Our IT Fundamentals lessons will equip you with the foundational concepts of the world of information technology, giving you a solid base before diving into the exciting world of data science.

Core Python 

Our Core Python lessons will improve your coding skills in Python by teaching you fundamental concepts like data types, loops, functions, and methods before moving on to data science libraries.

SDLC (Software Development Life Cycle)

Understanding SDLC, which governs the software development process from start to finish, is crucial for the successful execution of software projects developed in the fields of data science and artificial intelligence.

Advanced Python

Our Data Science course goes beyond teaching Python, the most popular programming language for data science, at the basic level. We will also help you understand advanced Python concepts. This will allow you to master Python and effectively use it to develop machine learning models.

Git & GitHub

Git, which helps track changes in data science projects, and GitHub, which enables collaborative project development, are essential tools for data analysis and artificial intelligence models. In our Data Science course, you will learn how to effectively use Git and GitHub in all their aspects. This knowledge and skill will help you adapt to modern data science processes, making you stand out in the job market.

SQL – PostgreSQL / DBeaver

SQL (Structured Query Language), an international query language used to extract, add, manage, etc., data from relational databases, is one of the essential skills that a data scientist must have. In our TechPro Education Data Science course, you will gain a deep understanding of PostgreSQL and MSSQL, two of the most widely used database management systems in the world, mastering SQL from basic to advanced levels. This will give you expertise in data analysis.

HTML & CSS

In our data science course, you'll gain an understanding of web development by learning HTML, which is used to create the structure and content of a web page, and CSS, which is used to style and layout the page.

Google Sheets

Google Sheets, an alternative to Excel from Google, has become an indispensable tool for data scientists thanks to its cloud-based, installation-free use, free accessibility, mobile compatibility, and collaborative features. You will master professional-level Google Sheets usage in our course.

Numpy

By learning this fantastic library, which enables fast and efficient calculations on large datasets for data scientists, from basic mathematical operations to complex statistical analysis, you will elevate your data analysis skills to the highest level.

Pandas

With the Pandas library, a fundamental analysis tool for any data scientist, you will gain the ability to easily process, clean, and visualize large datasets. You'll be able to perform all kinds of data analysis operations on datasets with ease using Pandas in our course.

EDA (Explanatory Data Analysis)

EDA (Exploratory Data Analysis) is a cornerstone of data science and plays a critical role in understanding datasets, identifying potential problems, and choosing the right modeling approach. This process provides an in-depth look at data, verifying assumptions before analysis. With our EDA lesson, which will take you on a journey into the mysterious world of data, you will acquire this essential skill through the professional presentation of our expert instructors.

Data Visualization 

Data visualization is one of the most powerful tools in data science, allowing you to explain complex datasets to people unfamiliar with the world of data through understandable and impressive visuals. Recognizing the importance of data visualization, TechPro Education has included four of Python's visualization libraries, Matplotlib, Seaborn, Plotly, and Bokeh, in its Data Science program.

Tableau & Power BI

Our Data Science program goes beyond just software-based analysis and visualization. We also teach Salesforce's Tableau and Microsoft's Power BI, two of the world's leading data visualization tools. The expertise you gain from these programs will make you even stronger in the data world.

Data Storytelling

Our Data Science course goes beyond providing you with top-tier technical skills. We teach you both Python's leading visualization libraries and industry-leading programs like Tableau and Power BI. However, a data scientist's true power lies in their ability to use these tools to create impactful and meaningful stories. With this in mind, our 'Data Storytelling' lesson delves into the deep philosophy of data visualization, its purpose, and the principles of storytelling with data. This skill will allow you to transform your analysis from mere numbers into emotional and persuasive narratives.

Statistics

We present the statistics lessons, which are considered the foundation of data science, in a way that is easy to understand. We cover statistics topics in a comprehensive and analytical manner, from easy to difficult, and we integrate them right before the machine learning module. This will help you grasp the background and principles of artificial intelligence.

Statistics, which is needed in all sectors, will give you the fundamental knowledge you need to make data-driven decisions confidently. This knowledge, which lies at the heart of data science, will allow you to achieve more informed and impactful results in your analyses.

Artificial Intelligence Module

Machine Learning

The second module of our Data Science course, artificial intelligence training, begins with machine learning lessons. You will learn machine learning algorithms, the foundation of AI models and a revolutionary force in many sectors today, from our expert instructors, enabling you to create unique models.

We present machine learning training in a theoretical and practical manner, allowing you to specialize in both supervised and unsupervised learning models. By learning this crucial skill of the digital age, you can seize the opportunity to become a future leader.

Deep Learning

Deep learning, another significant sub-field of artificial intelligence alongside machine learning, is the foundation of today's popular large language models like ChatGPT. If you want to learn how AI models work comprehensively and participate in advanced AI projects, our deep learning training is for you!

In our deep learning training, you will delve into advanced topics such as NLP, Computer Vision, Generative AI, Reinforcement Learning, and more, immediately putting what you learn into practice with projects.

Deployment

In the third phase of our AI module, we teach you how to deploy the models you create to end-users. The 'Deployment' phase is crucial for making the models you develop as a data scientist and AI expert usable in the real world. After training your model, it makes a big difference how you integrate it into real-time applications and present it to your users.

In our Deployment lessons, you can create fast and effective web applications using Streamlit and Flask, tools in this field; make your models scalable and accessible with cloud platforms like AWS and Sagemaker; and run your models consistently and seamlessly in any environment using Docker's container technology.

Capstone Projects

Our students complete a total of 20 capstone projects throughout the course, with the guidance of our instructors. Each student completes the training process by creating a unique AI model as part of their final project.

Through all these application-focused projects, you will develop your ability to solve real-world problems. You can publish your work on platforms like GitHub and LinkedIn, building a portfolio that will impress the business world.

Internship Opportunity

At the end of the course, we offer a 2-4 month internship opportunity at companies in the US and Europe for students who wish to participate. In this internship, you will have the chance to apply all the tools and applications you have learned in a real-world work environment.

You will analyze real data from a company and experience the excitement of using machine learning models based on this data to shape the company's future. You will be awarded a certificate of experience at the end of the internship, showing that you have worked at the company.

What Jobs Can I Apply for After Completing the Course?

After completing the Data Analyst module (the first 3.5 months of our course), you can apply for positions like:

• Data Analyst
• Data Architect
• Database Administrator
• Business Analytics Specialist
• Business Analyst
• BI Developer
• Business Intelligence Software Expert

After completing the Artificial Intelligence module, you can apply for positions like:

• Data Scientist
• Data Engineer
• Machine Learning Engineer
• Deep Learning Engineer
• AI Engineer
• AI Specialist
• and more...

What are the Average Salaries in This Field?

In the United States, a Data Scientist earns an average of $122,414 per year. A Machine Learning Engineer earns an average of $160,891 per year.

You can watch our Data Science Program video to learn more about the course content.

Schedule

English Course Night Time Schedule

• EST :  Eastern Standard Time
• CET :  Central European Time
• TSI  :  Turkish Time

Note: Please note that schedules may change due to daylight saving time in summer and winter.

FAQ

Do you need a Math background to be a Data Scientist?

No, it is not necessary. Basic knowledge of Mathematics at high school level is enough. Although machine learning algorithms have a mathematical background, you do not need to master this mathematical content to use these algorithms. However, you may need to learn more about these topics if you want to do academic work or wish to deepen your knowledge of the mathematical side of things. Apart from that, you do not need an advanced knowledge of mathematics to work as a data scientist, data analyst, or in a similar position in the industry. The basic concepts of statistics necessary to understand the subject of machine learning will be taught in our course.

Why should I choose Data Science?

1. There is a huge need for professionals in this field around the world.

2. More than 150 zettabytes of data will need to be analyzed by 2025 alone. (statista.com)

3. According to the 3rd World Economic Forum, the top three professions of the near future will be:

• a. Data Analyst
• b. Data Scientist 
• c. Machine Learning Engineer

What opportunities are offered in the training apart from the courses?

1. A one-year as an intern project in companies in Europe at the end of the course.

2. The opportunity to get a job and work in Silicon Valley Artificial Intelligence projects with professors from Stanford University,

3. Support and individual mentoring to help you develop your career (Resumé or CV, Interview, LinkedIn), small study groups, and much more.

How much does a Data Scientist usually earn?

In this field, entry-level salaries begin at $124,000 a year (in the US).

When can I start applying for jobs?

After completing the 3.5-month Data Analysis training, you will be ready to start applying for jobs and embark on your professional career in data analysis.