Quantitative Finance Certificate
Outperform the Market with Python
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Participants can interact with the instructor,
ask questions, seek clarification,
and receive immediate feedback. -
You can receive a full refund before
the second session. After attending
the second session, you will not be eligible
for a refund. -
Access to the session that was originally
conducted in real time. -
You can retake the same course you attended.
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We will provide you with the notes for the course.
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We will provide you with the homework
assignments for additional practice. -
You can always reach out to the instructor
between sessions or after the course on Slack.
Final price
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Are you ready to elevate your finance career to new heights with Python? Our Python for Finance Certificate Program is meticulously designed to equip you with the advanced skills necessary to excel in roles like Quantitative Research Analyst, with proficiency in Python.
What You Will Learn:
In this Python for Finance Certificate Program, you will learn essential skills and techniques to excel in the world of finance and investment:
- Identifying Investment Signals and Strategies: Develop the ability to identify and study investment signals, devise new strategies, and enhance existing ones using Python.
- Integrating Data into Research Platforms: Learn how to incorporate both structured and unstructured data into research platforms. Master the management of large volumes of data to drive insights and decisions.
- Feature Engineering: Gain proficiency in feature engineering to improve the performance of your financial models.
- Building and Tuning Security Selection Models: Build and fine-tune both linear and non-linear security selection models using Python, enhancing your analytical capabilities.
- Integrating Security Selection into Portfolio Construction: Learn to seamlessly integrate security selection methods into portfolio construction frameworks, optimizing investment decisions.
What You'll Achieve:
Master Financial Analyses Across All Sectors: Gain the expertise to perform comprehensive financial analyses for diverse sectors including technology, media and communications, industrials, consumer and retail, healthcare, financials, and energy.
Excel in Activist Investing: Learn to conduct detailed analyses to support decision-making within activist investing, empowering you to drive impactful investment strategies.
Conduct In-Depth Company and Industry Analyses: Develop the ability to perform differentiated, bottoms-up analyses of companies, business models, and relevant industry metrics. Become proficient in evaluating and synthesizing industry developments to identify lucrative investment opportunities.
Perform Detailed Valuations and Financial Modeling: Acquire the skills to construct sophisticated financial models and perform meticulous valuations, essential for presenting compelling investment ideas to portfolio managers.
Stay Ahead in a Competitive Market: With training in Python for Finance, you’ll be able to harness powerful tools like Pandas, NumPy, and Matplotlib to manipulate and analyze large datasets, ensuring you remain at the forefront of financial innovation.
Graduate Professionally Prepared
The Path to career
This Data Science Certificate Program offers a direct route to a career as a data scientist, providing comprehensive training in Python and sought-after Machine Learning algorithms essential for the field.
Career Options for Graduates
Courses in this Bundle
This is the recommended order, but some courses may be taken in a different order. See the FAQ for more details.
The primary aim of this course is to equip you with the ability to write code independently. We assure you that, upon completion, you will possess the skills to craft your own programs adeptly, enabling you to apply Python for data science, machine learning, finance, or marketing.
In our Python Data Science Intensive course, you'll acquire the fundamental skills crucial for a Data Science career, including the ability to gather, describe, and interpret data. Dive into the world of Python packages for Data Science with an emphasis on tools like Pandas, NumPy, and Matplotlib. By unlocking the full potential of Python for data science, you'll pave your way to becoming a proficient data analyst.
Dive into the world of Python packages tailored for finance with a focus on powerful tools like Pandas, NumPy, and Matplotlib. By mastering Python for financial analysis, you'll be well-equipped to become a proficient financial analyst.
Instructors
Art Yudin
Earn a Certificate
Upon completion of all courses, you’ll receive an official certificate testifying to your mastery of the curriculum. We’ll send you a link where you can download your certificate, share it online with your friends, post it to your professional network on LinkedIn, and view all your earned certificates. Congratulations on your achievement!
Testimonials
I loved Art! He’s super patient and answers all questions! I recommend this class for all python beginners!! I had no knowledge of python prior to this class
Always enjoy taking a class with Art. He is knowledgeable and on top of his game. His class is quick paced but easy to follow... is patient with questions
I took Introduction to Python and Web Scrapping with Art and the class was great!
Took Python for Data Science Immersive with Art. Great instructor! Boost my knowledge within very short time frame!
Art is very thorough, helpful and able to break down content in a way it is easily digestible by those in attendance.
Art is great. Very generous with time and knowledge and truly helpful. Great if you have no programming knowledge or if you're a more advanced student.
Art is super helpful and attentive to every question.
Art teaches Python in a very understandable way.
Art has a ton of experience in teaching the basics of python to people who have no previous coding experience. The class format is great - we start with lectures and go right into practice problems to use what we just learned. 100% would recommended!
Art does a great job meeting everyone at their level and making sure that everyone feels challenged.
Questions? Check here
While a strong background in mathematics can be beneficial when delving deeper into machine learning, it is not an absolute requirement to get started. The level of mathematical knowledge you need depends on your goals within the field of machine learning.
Upon completing the program, you'll be awarded a certificate attesting to your proficiency in Python. While this certification enhances your credentials for Python jobs, it's crucial to recognize that the true merit lies in the knowledge you gain at RoboticView and your capacity to independently practice Python coding. At RoboticView, alongside guiding you through practical Python problems and their solutions, we prioritize equipping you with the skills necessary to excel in job interviews.
You don't need to install anything before attending this free Python class. We'll be utilizing the Google online solution, Google Colab https://colab.research.google.com/, which only requires a Google login and password. With Colab, you can leverage the capabilities of well-known Python libraries to analyze and visualize data.
Python Intensive serves as a fundamental stepping stone to Python Data Science. Within Python Intensive, we establish a strong foundation by imparting essential Python skills, which you can subsequently leverage in Python for Data Science to collect, manipulate, and analyze data.
While individuals with prior Python expertise can directly enroll in Python Data Science, newcomers to Python programming are strongly encouraged to begin with Python Intensive for a smoother learning experience.
Yes, after each session we provide a relevant exercise so you could practice Python syntax and functions.
Python, a high-level and versatile programming language, offers a simpler syntax compared to languages like C#, C++, or Java. Consequently, learning Python syntax is a faster process, with many individuals achieving proficiency in as little as six months. Your mastery of Python largely hinges on your daily coding practice; Dedicating 5-7 hours each day could provide you with a working knowledge of Python in just two months.
While a strong background in mathematics can be beneficial when delving deeper into machine learning, it is not an absolute requirement to get started. The level of mathematical knowledge you need depends on your goals within the field of machine learning.
Upon completing the program, you'll be awarded a certificate attesting to your proficiency in Python. While this certification enhances your credentials for Python jobs, it's crucial to recognize that the true merit lies in the knowledge you gain at RoboticView and your capacity to independently practice Python coding. At RoboticView, alongside guiding you through practical Python problems and their solutions, we prioritize equipping you with the skills necessary to excel in job interviews.
You don't need to install anything before attending this free Python class. We'll be utilizing the Google online solution, Google Colab https://colab.research.google.com/, which only requires a Google login and password. With Colab, you can leverage the capabilities of well-known Python libraries to analyze and visualize data.
Python Intensive serves as a fundamental stepping stone to Python Data Science. Within Python Intensive, we establish a strong foundation by imparting essential Python skills, which you can subsequently leverage in Python for Data Science to collect, manipulate, and analyze data.
While individuals with prior Python expertise can directly enroll in Python Data Science, newcomers to Python programming are strongly encouraged to begin with Python Intensive for a smoother learning experience.
Yes, after each session we provide a relevant exercise so you could practice Python syntax and functions.
Python, a high-level and versatile programming language, offers a simpler syntax compared to languages like C#, C++, or Java. Consequently, learning Python syntax is a faster process, with many individuals achieving proficiency in as little as six months. Your mastery of Python largely hinges on your daily coding practice; Dedicating 5-7 hours each day could provide you with a working knowledge of Python in just two months.
You don't need to install anything before attending this free Python class. We'll be utilizing the Google online solution, Google Colab https://colab.research.google.com/, which only requires a Google login and password. With Colab, you can leverage the capabilities of well-known Python libraries to analyze and visualize data.
Python Intensive serves as a fundamental stepping stone to Python Data Science. Within Python Intensive, we establish a strong foundation by imparting essential Python skills, which you can subsequently leverage in Python for Data Science to collect, manipulate, and analyze data. While individuals with prior Python expertise can directly enroll in Python Data Science, newcomers to Python programming are strongly encouraged to begin with Python Intensive for a smoother learning experience.
Yes, after each session we provide a relevant exercise so you could practice Python syntax and functions.
Python, a high-level and versatile programming language, offers a simpler syntax compared to languages like C#, C++, or Java. Consequently, learning Python syntax is a faster process, with many individuals achieving proficiency in as little as six months. Your mastery of Python largely hinges on your daily coding practice; Dedicating 5-7 hours each day could provide you with a working knowledge of Python in just two months.
Yes, after each session we provide a relevant exercise so you could practice Python syntax and functions.
Python, a high-level and versatile programming language, offers a simpler syntax compared to languages like C#, C++, or Java. Consequently, learning Python syntax is a faster process, with many individuals achieving proficiency in as little as six months. Your mastery of Python largely hinges on your daily coding practice; Dedicating 5-7 hours each day could provide you with a working knowledge of Python in just two months.