Python For Finance
For the last few years, the Financial Industry is growing at a tremendous speed, and it is adopting technology at a faster pace. Jobaaj.com, via its EduTech arm Jobaaj Learnings has been working as a consultancy firm for the last several years. While interacting with thousands of students, we realized how the future of finance is going to look like.
There will be exponential growth in the adoption of technology. Many working finance professionals in a survey told us how technology’s role is growing over the last five years and how their companies prioritize the candidates having technical knowledge. We have created an all-in-one python course with no prerequisites and focusing only on practical-based learning to help our finance professionals.
The All in One course will help the students, and working professionals put their first step into the programming world. This course would help the students learn Python. The students will be implementing what they are learning through time. Python is being used in Data Analysis, Data Science, Investment Banking, Machine Learning, Financial Modeling.
In this course, we will be learning basic python to intermediate level, There are various programming languages, but we are using Python as Data Scientists on a large scale are using it. We can use python for financial analysis by using the real-world financial data and analyze it in Jupyter notebooks
Significant Highlights of The Course
- Introduction to Python? An introduction about Colab.
- Most comprehensive Python course with online video lectures
- Video Lectures and Quizzes
- Worksheets at the end of each section
- Taught by qualified Python professional
- Projects at the end of the course
What is this course all about?
Python for Finance course will help the students learning Python from the beginners level. This course doesn’t require any prior knowledge related to programming; anyone who hasn’t written even a single line of Code in life can start this course.
A beginner can start learning Python right from lecture one and create his/her journey into the programming world. It includes worksheets of every topic, Assignments like GitHub Optimisation, LinkedIn Optimisation, and a Capstone project, which will help them uplift their skills.
Practical-oriented course
The course lessons are mostly practical-oriented, and most of the topics are covered in the workspace only by executing the concepts into the existing programs. Each module ends with a Quiz that contains practical questions related to the course, and students are encouraged to answer the questions before moving further.
Quizzes for practice
Apart from module end questions, this course also contains quizzes at the end of every section. Also, we have provided worksheets, assignments, and projects for practice purposes.
Instructor support for questions
Get connected with Instructor over WhatsApp. We at Jobaaj understand that students will have questions related to the course. It is also necessary for a healthy learning process; hence, We encourage students to ask their questions about the videos discussion forum. Our team will answer every question as soon as possible.
Still thinking about whether to enroll or not, we encourage you to watch some of the preview videos and test the waters before you enroll in the course.
Who this course is for:
- If you are a Finance student with no prior knowledge of Python and want a comprehensive approach with lots of practice questions, this course is for you. This course will help you in improving your resume and skills. It will help the candidates to stand out in the competition.
- If you are a working professional looking to upgrade his/her skills and learn new and advanced topics in Python, we would like you to enroll in this course for the same. As the financial industry is adopting Python with pace, it is going to be a significant step towards success
What will i learn?
- There are no prerequisites for this course. We will start the journey from very scratch. Also, the coding part would be done on Google Colab, cloud-based software, and will help us execute Code.
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Python can be used for Finance?
00:08:37
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Introduction to Google Colab
00:25:00
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How to open .ipynb File?
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Worksheet 1
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Worksheet 1 Solution Video
00:18:00
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Worksheet 1 Solution File
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Getting Familiar with Kaggle
00:08:16
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Writing Our First Python Program
00:07:25
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Checking the Python Version
00:03:35
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Tokens in Python
00:16:23
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Variable & Multiple Assignment
00:07:00
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Worksheet 2.1
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Worksheet 2.1 Solution Video
00:21:00
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Worksheet 2.1 Solution File
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Worksheet 2.2
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Worksheet 2.2 Solution Video
00:23:00
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Worksheet 2.2 Solution File
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Python Datatypes
00:21:21
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Operators in Python
00:13:46
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Mutable & Immutable Datatypes
00:07:00
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Expressions in Python
00:03:00
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Math Module in Python
00:06:30
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Worksheet 3.1
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Worksheet 3.1 Solution Video
00:27:00
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Worksheet 3.1 Solution File
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Worksheet 3.2
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Worksheet 3.2 Solution Video
00:23:00
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Worksheet 2.2 Solution File
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Worksheet 3.3
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Worksheet 3.3 Solution Video
00:22:00
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Worksheet 3.3 Solution File
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Types of Statements in Python
00:04:00
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Statement Flow Control
00:09:00
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If Statement & If-Else Statement
00:06:00
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Elif Statement & Nested If Statement
00:11:00
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The Range() Function
00:05:00
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Iteration/Looping Statements
00:09:00
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Worksheet 4.1
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Worksheet 4.1 Solution File
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Worksheet 4.2
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Worksheet 4.2 Solution File
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Worksheet 4.3
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Worksheet 4.3 Solution File
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Creating and Accessing Lists
00:19:00
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List Operations
00:08:00
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Making True Copy of the List
00:06:00
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List Functions and Methods
00:19:00
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Worksheet 5.1
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Worksheet 5.1 Solution File
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Worksheet 5.2
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Worksheet 5.2 Solutions
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Worksheet 5.3
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Worksheet 5.3 Solutions
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Introduction Dictionary – Key: Value Pair
00:08:00
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Working with Dictionaries
00:14:00
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Dictionary Functions and Methods
00:04:00
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Worksheet 6.1
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Worksheet 6.1 Solution File
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Worksheet 6.2
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Worksheet 6.2 Solution File
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Worksheet 6.3
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Worksheet 6.3 Solution File
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Introduction to Functions
00:18:00
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Building Functions with Python
00:12:00
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Worksheet 7.1
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Worksheet 7.1 Solution File
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Worksheet 7.2
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Worksheet 7.2 Solution File
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Worksheet 7.3
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Worksheet 7.3 Solution File
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Working with a Text File
00:09:00
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Creating and Renaming
00:07:00
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Working with other files using Pandas
00:08:00
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Why Numpy? Numpy Array VS Python List
00:09:00
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How to Use Numpy
00:14:00
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Basic Operations in Numpy
00:15:00
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Numpy 2D Array
00:08:00
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Numpy Arrays: Boolean Indexing
00:13:00
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Generating Random Numbers
00:18:00
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Performance Issues
00:14:00
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Statistics in Numpy
00:09:00
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Intro to Pandas/Tabular Data
00:12:00
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Inspection of Data
00:13:00
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Built-in Functions, Attributes and Methods
00:11:00
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Where we can get DATA From
00:08:00
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Selecting Columns
00:17:00
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Selecting Rows with Square Brackets (not advisable)
00:09:00
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Selecting Rows with iloc (position-based indexing)
00:20:00
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Selecting Rows with loc (label based indexing)
00:20:00
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Pandas Cheat Sheet
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Getting started with Pandas Series
00:20:00
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Analyzing Numerical Series with unique(), nunique() and value_counts()
00:12:00
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Analyzing non-numerical Series with unique(), nunique(), value_counts()
00:10:00
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The copy() method
00:07:00
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Visualization with Matplotlib
00:12:37
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Customisation of Plots
00:16:00
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Histogramms
00:14:00
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Scatterplots
00:09:00
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Reviews
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Rajeev GuptaI truly enjoyed it. It gives you basic to advance knowledge of what it takes to be a good and you can apply this knowledge not only in presentations, but also in your daily life. without a doubt the best online course. -
Meena SisodiyaThis course is great. You simply learn a lot in an easy way. The teacher is really good and knows how to teach and engage you in the lessons. I am looking forward to next courses ( Data structure in python)
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Reetu BansalThis is a very informative course that helped me to come out of my shell and be more confident while speaking in front of my friends I feel like I took away a lot of important points from the course and would definitely recommend them. This course also helps me to build my strength in the programming field, and I am very grateful to share that having knowledge of python succeed me to get a job in the finance field.So I am again saying thanks to jobaaj learnings and instructor for such a great course at that reasonable prices, and I surely recommend it to my friends ...
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Arti MishraThis course gives insight into how python can be used in the Financial Sector, though I was unsure of how applicable it is, as it seems simplified. learned a lot about python in this course Would recommend it to a beginner of python and intermediate finance student.
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Anuj BaghelGreat course for someone new to Python like me. - The quality of the videos and presentations was outstanding. - The additional Quizzes provided were useful to revise the topics studied. - The Worksheets provided throughout the course were very useful to apply in practice the material studied Overall practical oriented course
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Rashmi MalikThe course has wholly fulfilled my expectation with detailed and easy-to-understand instruction. Especially, it's really compatible with a person who has no prior experience in Python like me.
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Shweta GalavReviewing after completing 50% of the course.I am a finance guy and I know that in my field, knowing just finance is not enough, programming is becoming an essential part if you wanna sustain in the finance industry for the long term. Keeping this in mind, I started learning python in-depth and enrolled myself in this course.Trust me what you will be paying for this course will be worth it!
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Shivam Bhallaworksheet were created and their solution were given. But terms used in worksheet were not explained in video lectures. so most of the times i still using youtube
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