Is FinTech a Hard Class?

The difficulty faced when learning FinTech varies from person to person. One of the biggest influences on how difficult students find learning FinTech is their prior experience with finance and technology and how in-depth they go when learning. The more time a beginner-level student spends learning in and outside the classroom, the easier they will find picking up FinTech. The method of learning also impacts how difficult someone perceives FinTech classes; students learning from an instructor tend to find FinTech easier than students who have turned to self-teaching. However, with enough time and dedication, learning Tableau is achievable for anyone. 

What is Hard about Learning FinTech?

What you find hardest about learning FinTech will probably depend on your prior experience and knowledge. Students with previous experience in finance or tech tend to find it easier to jump into FinTech. However, students with no prior experience in either or experience in one but not the other, typically find themselves needing to learn the basics before trying to work out for themselves how finance and technology work together. 

For students with no prior experience in FinTech, difficulty may come in the form of learning financial concepts or financial analysis. Beginner-level classes make sure to strengthen students’ financial literacy. In introductory classes, students can expect to learn about financial statements, financial reporting, accounting, and forecasting. Another important aspect of finance is financial analysis. When learning financial analysis, students will learn about data science and data visualization, and they will work with programs that can help them analyze financial information to produce data-driven solutions. 

Students with no prior tech experience will need to start with the basics: programming. FinTech companies often make use of Python and other programming languages, so many beginner-level classes will either teach students how to code with Python or expect them to already know Python so that they can take their skills to the next level in class. Learning a coding language can prove challenging for students with no prior experience who may struggle with coding conceptually. Luckily, Python is one of the easiest programming languages for beginners to learn. 

Some students find that the roadblocks they face when learning FinTech come later down the line when they’re taking advanced FinTech classes. Advanced FinTech classes push students to use their finance and tech skills to work on more advanced skill areas like cybersecurity, artificial intelligence and machine learning, cloud computing, and APIs. With enough time and training spent learning FinTech, students can overcome the toughest of challenges. 

How Can I Make Learning FinTech Easier?

Looking to make learning FinTech easier? Consider the learning tools available to you and how you can use them to your advantage. You can first seek out free resources available to you to learn the basics of FinTech and how to troubleshoot common problems like errors when coding Python or trouble with data visualization software. Free resources include YouTube videos uploaded by training centers like Noble Desktop and forums and guides posted online by experts looking to share their knowledge with new learners. You can also check out your local library for other free resources to help you start learning FinTech. 

After examining the free resources you can use to learn the basics, consider formal training options. Live training provides students with the opportunity to learn FinTech from an instructor who will answer their questions and provide feedback on their projects and in-class work. Live training also comes in an online format where students will learn from an instructor remotely. Both class modalities require students to choose from scheduled times, either on weekdays, in the evenings, or on weekends. Most schools offer part-time and full-time training options, with full-time schedules usually following an accelerated pace and part-time courses catering to students with busy schedules who cannot commit to full-time learning. 

Students who cannot attend a live class but want at least some of the structure that formal training offers can enroll in an on-demand FinTech class. On-demand classes offered by platforms like Coursera and Udemy offer students the chance to learn FinTech at their preferred pace. Students will enroll in their course and then receive instant access to their course materials, which can range from pre-recorded video lectures to reading assignments. This flexible learning method is also affordable, often costing hundreds if not thousands of dollars less than live classes. 

Best Ways to Learn FinTech Without Difficulty

Live FinTech training will make learning FinTech less difficult than self-teaching will. Self-teaching allows students to work at their pace, making it a solution for students with busy schedules who cannot attend live classes, but with self-teaching students will have a difficult time going in-depth with FinTech. Most on-demand classes only touch on the basics of FinTech and searching online for advanced-level resources, while not impossible, is difficult. 

A live FinTech training class taught by an expert instructor provides students with a well-developed curriculum and learning experience. In a live class, students can ask questions, receive feedback, troubleshoot, and better connect with course material compared to self-teaching methods where they don’t have an instructor. Not having an instructor proves more challenging for students who have trouble finding the motivation to learn on their own. 

With live training, students have the option of attending in-person or online classes. The choice a student makes will depend on their availability and learning preferences. Both in-person and live online classes offer scheduled classes taught by an instructor. In-person classes follow a more traditional style of learning, which many students find familiar. 

Meanwhile, live online training offers students a flexible learning experience. Like in-person classes, live online classes follow a schedule, but this training provides a more accessible option for students who cannot commute to an in-person class or do not live in an area with in-person classes. Live online classes eliminate the need to commute, allowing students to attend class from the comfort of their homes, which some students find to be a more relaxing learning environment. With live online classes, students can also explore classes held remotely from anywhere in the country, giving them more options to choose from than they have locally. 

Learn FinTech with Noble Desktop

Learn FinTech skills by enrolling in one of Noble Desktop’s FinTech programs. Noble Desktop offers most classes live online, where students will learn under the guidance of an instructor via a web conferencing platform, and in person at their midtown Manhattan campus. 

Noble’s FinTech Bootcamp is an interactive program covering the essential skills needed to begin a career in the FinTech industry. Under the guidance of an instructor, you’ll learn Python programming, data science, financial analysis, data visualization, and machine learning. Noble Desktop offers the bootcamp in a 4-week full-time schedule on weekdays, or a 4-month part-time schedule on evenings and Saturdays. In addition to five units covering Python and SQL as used for FinTech, you’ll also have the option of choosing a bonus 18-hour elective unit covering either Python or financial modeling. 

Students pursuing or currently in a finance-related profession, interested in using Python’s financial libraries to manipulate and analyze financial data, should enroll in Noble Desktop’s Python for Finance Bootcamp. Over the 18-hour live online course, students will learn how to use Python’s financial libraries and gain hands-on experience gathering and manipulating financial data, fetching APIs for company and economic data, analyzing SEC financial statements, building risk models, and applying linear regression for stock price predictions. Aside from a financial background, students should also have taken Noble’s Python for Data Science Bootcamp, or have equivalent knowledge. If you want to take the course but don’t think you have the financial background necessary, contact Noble after registration to access a free on-demand supplemental guide. 

Financial modeling plays an important role in the FinTech industry. Analysts working for a firm or taking on clients should understand how to use financial models to predict risk and evaluate and compare financial decisions. In Noble Desktop’s Financial Modeling Bootcamp, you’ll learn essential financial and accounting concepts as you work toward gaining the core skills required for a career handling equity research, financial planning and analysis, investment banking, private equity, or corporate finance. Prior financial experience is helpful when enrolling in the bootcamp, but not required. After completing the three-day course, you’ll receive a verified digital certificate of completion and have access to a retake for free within one year. 

Noble Desktop’s beginner-level Data Science Certificate program will provide you with the hands-on training needed to start an entry-level data science or Python engineering position. Spend four weeks full-time (weekdays) or 20 weeks part-time (evenings or Saturdays) learning how to program with Python, perform data analysis, query with SQL, and create predictive models. You’re guaranteed to succeed in this class as you spend 114 hours plus an additional six 1-on-1 mentoring sessions, where you’ll receive professional advice, detailed and personalized feedback, and map out your learning goals. No prior knowledge is required to enroll, making the class ideal for individuals looking to get started with data science, Analysts who want to transition to using Python and SQL, and Developers looking to gain additional skills.

After completing Noble Desktop’s Data Science Bootcamp, you can enroll in AI for Python, a hands-on course that covers the development of AI apps. You’ll receive an introduction to AI using Python at a beginner and intermediate level. The course includes lessons to help you develop theoretical and practical knowledge so that you have a strong enough understanding of AI concepts, along with practical experience with Python libraries. The 30-hour class will introduce you to ChatGPT, algorithms, and how to deploy your app.