Python & Machine Learning for Financial Analysis

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05/07/22 at 9:58pm GMT+1

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Description

Description

Are you ready to learn python programming fundamentals and directly apply them to solve real world applications in Finance and Banking?

If the answer is yes, then welcome to the “The Complete Python and Machine Learning for Financial Analysis” course in which you will learn everything you need to develop practical real-world finance/banking applications in Python!

So why Python?

Python is ranked as the number one programming language to learn in 2020, here are 6 reasons you need to learn Python right now!

1. #1 language for AI & Machine Learning: Python is the #1 programming language for machine learning and artificial intelligence.

2. Easy to learn: Python is one of the easiest programming language to learn especially of you have not done any coding in the past.

3. Jobs: high demand and low supply of python developers make it the ideal programming language to learn now.

4. High salary: Average salary of Python programmers in the US is around $116 thousand dollars a year.

5. Scalability: Python is extremely powerful and scalable and therefore real-world apps such as Google, Instagram, YouTube, and Spotify are all built on Python.

6. Versatility: Python is the most versatile programming language in the world, you can use it for data science, financial analysis, machine learning, computer vision, data analysis and visualization, web development, gaming and robotics applications.

This course is unique in many ways:

1. The course is divided into 3 main parts covering python programming fundamentals, financial analysis in Python and AI/ML application in Finance/Banking Industry. A detailed overview is shown below:

a) Part #1 – Python Programming Fundamentals: Beginner’s Python programming fundamentals covering concepts such as: data types, variables assignments, loops, conditional statements, functions, and Files operations. In addition, this section will cover key Python libraries for data science such as Numpy and Pandas. Furthermore, this section covers data visualization tools such as Matplotlib, Seaborn, Plotly, and Bokeh.

b) Part #2 – Financial Analysis in Python: This part covers Python for financial analysis. We will cover key financial concepts such as calculating daily portfolio returns, risk and Sharpe ratio. In addition, we will cover Capital Asset Pricing Model (CAPM), Markowitz portfolio optimization, and efficient frontier. We will also cover trading strategies such as momentum-based and moving average trading.

c) Part #3 – AI/Ml in Finance/Banking: This section covers practical projects on AI/ML applications in Finance. We will cover application of Deep Neural Networks such as Long Short Term Memory (LSTM) networks to perform stock price predictions. In addition, we will cover unsupervised machine learning strategies such as K-Means Clustering and Principal Components Analysis to perform Baking Customer Segmentation or Clustering. Furthermore, we will cover the basics of Natural Language Processing (NLP) and apply it to perform stocks sentiment analysis.

2. There are several mini challenges and exercises throughout the course and you will learn by doing. The course contains mini challenges and coding exercises in almost every video so you will learn in a practical and easy way.

3. The Project-based learning approach: you will build more than 6 full practical projects that you can add to your portfolio of projects to showcase your future employer during job interviews.

So who is this course for?

This course is geared towards the following:

Financial analysts who want to harness the power of Data science and AI to optimize business processes, maximize revenue, reduce costs.
Python programmer beginners and data scientists wanting to gain a fundamental understanding of Python and Data Science applications in Finance/Banking sectors.
Investment bankers and financial analysts wanting to advance their careers, build their data science portfolio, and gain real-world practical experience.

There is no prior experience required, Even if you have never used python or any programming language before, don’t worry! You will have a clear video explanation for each of the topics we will be covering. We will start from the basics and gradually build up your knowledge.

In this course, (1) you will have a true practical project-based learning experience, we will build more than 6 projects together (2) You will have access to all the codes and slides, (3) You will get a certificate of completion that you can post on your LinkedIn profile to showcase your skills in python programming to employers. (4) All of this comes with a 30 day money back guarantee so you can give a course a try risk free! Check out the preview videos and the outline to get an idea of the projects we will be covering.

Enroll today and I look forward to seeing you inside!
Who this course is for:

Financial analysts who want to harness the power of Data science and AI to optimize business processes, maximize revenue, reduce costs.
Python programmer beginners and data scientists wanting to gain a fundamental understanding of Python and Data Science applications in Finance/Banking sectors.
Investment bankers and financial analysts wanting to advance their careers, build their data science portfolio, and gain real-world practical experience.
There is no prior experience required, Even if you have never used python or any programming language before, don’t worry! You will have a clear video explanation for each of the topics we will be covering. We will start from the basics and gradually build up your knowledge.

Requirements

No prior experience required.

Last Updated 12/2020

File list

Python & Machine Learning for Financial Analysis
TutsNode.com.txt 63 B
[TutsNode.com] - Python & Machine Learning for Financial Analysis/01 - Course Introduction, Success Tips and Key Learning Outcomes/002 Introduction, Success Tips & Best Practices and Key Learning Outcomes_en.vtt 16.2 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/01 - Course Introduction, Success Tips and Key Learning Outcomes/003 Course Outline and Key Learning Outcomes_en.vtt 21.9 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/01 - Course Introduction, Success Tips and Key Learning Outcomes/006 Python for Data Science Learning Path.html 1.4 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/01 - Course Introduction, Success Tips and Key Learning Outcomes/007 Study Tips For Success.html 1017 B
[TutsNode.com] - Python & Machine Learning for Financial Analysis/02 - PART #1 PYTHON PROGRAMMING FUNDAMENTALS/001 Introduction to Part #1 Python Programming Fundamentals_en.vtt 1.6 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/03 - Python 101 Variables Assignment, Math Operation, Precedence and PrintGet/001 Colab Notebooks - Variables Assignment, Math Ops, Precedence, and PrintGet.html 82 B
[TutsNode.com] - Python & Machine Learning for Financial Analysis/03 - Python 101 Variables Assignment, Math Operation, Precedence and PrintGet/002 Variable assignment_en.vtt 17.7 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/03 - Python 101 Variables Assignment, Math Operation, Precedence and PrintGet/003 Math operations_en.vtt 16.8 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/03 - Python 101 Variables Assignment, Math Operation, Precedence and PrintGet/004 Precedence_en.vtt 14.6 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/03 - Python 101 Variables Assignment, Math Operation, Precedence and PrintGet/005 Print operation_en.vtt 14.1 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/03 - Python 101 Variables Assignment, Math Operation, Precedence and PrintGet/006 Get User Input_en.vtt 21.9 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/03 - Python 101 Variables Assignment, Math Operation, Precedence and PrintGet/external-assets-links.txt 229 B
[TutsNode.com] - Python & Machine Learning for Financial Analysis/04 - Python 101 Data Types/001 Colab Notebooks - Data Types.html 35 B
[TutsNode.com] - Python & Machine Learning for Financial Analysis/04 - Python 101 Data Types/003 List_en.vtt 26.1 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/04 - Python 101 Data Types/005 Strings_en.vtt 18.3 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/04 - Python 101 Data Types/007 Sets_en.vtt 7.3 KB
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[TutsNode.com] - Python & Machine Learning for Financial Analysis/05 - Python 101 Comparison Operators, Logical Operators, and Conditional Statements/001 Colab Notebooks - Comparison Operators, Logical Operators and If Statements.html 82 B
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[TutsNode.com] - Python & Machine Learning for Financial Analysis/05 - Python 101 Comparison Operators, Logical Operators, and Conditional Statements/004 Conditional statements - Part #1_en.vtt 20.8 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/05 - Python 101 Comparison Operators, Logical Operators, and Conditional Statements/005 Conditional statements - Part #2_en.vtt 16.9 KB
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[TutsNode.com] - Python & Machine Learning for Financial Analysis/06 - Python 101 Loops/001 Colab Notebooks - ForWhile Loops, Range, List Comprehension.html 67 B
[TutsNode.com] - Python & Machine Learning for Financial Analysis/06 - Python 101 Loops/002 For loops_en.vtt 17.8 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/06 - Python 101 Loops/003 Range_en.vtt 13.9 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/06 - Python 101 Loops/004 While Loops_en.vtt 17.2 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/06 - Python 101 Loops/006 Nested loops_en.vtt 15.4 KB
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[TutsNode.com] - Python & Machine Learning for Financial Analysis/06 - Python 101 Loops/external-assets-links.txt 228 B
[TutsNode.com] - Python & Machine Learning for Financial Analysis/07 - Python 101 Functions/001 Colab Notebooks - Functions.html 34 B
[TutsNode.com] - Python & Machine Learning for Financial Analysis/07 - Python 101 Functions/003 Custom functions_en.vtt 17.7 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/07 - Python 101 Functions/external-assets-links.txt 228 B
[TutsNode.com] - Python & Machine Learning for Financial Analysis/08 - Python 101 Files Operations/001 Colab Notebooks - Files Operations.html 41 B
[TutsNode.com] - Python & Machine Learning for Financial Analysis/08 - Python 101 Files Operations/002 Reading & Writing Text Files_en.vtt 24.8 KB
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[TutsNode.com] - Python & Machine Learning for Financial Analysis/08 - Python 101 Files Operations/28075920-fruits-input.txt 1.1 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/08 - Python 101 Files Operations/28075926-S-P500-Stock-Data.csv 35.8 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/08 - Python 101 Files Operations/28075928-sample-csv-file.csv 211 B
[TutsNode.com] - Python & Machine Learning for Financial Analysis/08 - Python 101 Files Operations/28075934-sample-text-file.txt 117 B
[TutsNode.com] - Python & Machine Learning for Financial Analysis/08 - Python 101 Files Operations/external-assets-links.txt 228 B
[TutsNode.com] - Python & Machine Learning for Financial Analysis/09 - Python 101 Data Science Python Libraries for Data Analysis (Numpy)/001 Colab Notebooks - Numpy.html 30 B
[TutsNode.com] - Python & Machine Learning for Financial Analysis/09 - Python 101 Data Science Python Libraries for Data Analysis (Numpy)/004 Shape Length Type_en.vtt 15.5 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/09 - Python 101 Data Science Python Libraries for Data Analysis (Numpy)/006 Slicing & indexing_en.vtt 20.4 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/10 - Python 101 Data Science Python Libraries for Data Analysis (Pandas)/001 Colab Notebooks - Pandas.html 31 B
[TutsNode.com] - Python & Machine Learning for Financial Analysis/10 - Python 101 Data Science Python Libraries for Data Analysis (Pandas)/002 Pandas Introduction to Pandas and DataFrames_en.vtt 25 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/10 - Python 101 Data Science Python Libraries for Data Analysis (Pandas)/003 Reading HTML data, and applying functions, and sorting_en.vtt 15.4 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/10 - Python 101 Data Science Python Libraries for Data Analysis (Pandas)/007 Mergingjoiningconcatenation_en.vtt 25.3 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/11 - Python 101 Data Visualization with Matplotlib/002 Line Plot_en.vtt 16.2 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/11 - Python 101 Data Visualization with Matplotlib/28076362-stocks.csv 243.8 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/11 - Python 101 Data Visualization with Matplotlib/28076366-daily-returns.csv 124 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/12 - Python 101 Data Visualization with Seaborn/002 Data Visualization with Seaborn - Part #1_en.vtt 27.7 KB
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[TutsNode.com] - Python & Machine Learning for Financial Analysis/13 - PART #2 PYTHON FOR FINANCIAL ANALYSIS/001 Introduction to Part #2 Python for Financial Analysis_en.vtt 1.1 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/14 - Stocks Data Analysis and Visualization in Python/003 Task 2.mp4 163.5 MB
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[TutsNode.com] - Python & Machine Learning for Financial Analysis/14 - Stocks Data Analysis and Visualization in Python/28075560-stock.csv 243.8 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/15 - Asset Allocation and Statistical Data Analysis/002 Task 1_en.vtt 20 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/15 - Asset Allocation and Statistical Data Analysis/005 Task 4.mp4 196.2 MB
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[TutsNode.com] - Python & Machine Learning for Financial Analysis/15 - Asset Allocation and Statistical Data Analysis/28075632-stock.csv 243.8 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/16 - Capital Asset Pricing Model (CAPM)/002 Task 1_en.vtt 21.2 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/16 - Capital Asset Pricing Model (CAPM)/005 Task 4_en.vtt 16.6 KB
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[TutsNode.com] - Python & Machine Learning for Financial Analysis/16 - Capital Asset Pricing Model (CAPM)/28075658-stock.csv 243.8 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/17 - PART #3 MACHINE AND DEEP LEARNING IN FINANCE/001 Introduction to Part #3 Machine and Deep Learning in Finance_en.vtt 1.3 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/18 - Predict Stocks Future Prices Using Machine and Deep Learning/001 Colab Notebooks - Predict Future Stock Prices Using MachineDeep Learning.html 80 B
[TutsNode.com] - Python & Machine Learning for Financial Analysis/18 - Predict Stocks Future Prices Using Machine and Deep Learning/002 Task 1_en.vtt 15.2 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/18 - Predict Stocks Future Prices Using Machine and Deep Learning/003 Task 2_en.vtt 21.6 KB
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[TutsNode.com] - Python & Machine Learning for Financial Analysis/18 - Predict Stocks Future Prices Using Machine and Deep Learning/010 Task 9_en.vtt 21.4 KB
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[TutsNode.com] - Python & Machine Learning for Financial Analysis/18 - Predict Stocks Future Prices Using Machine and Deep Learning/012 Task 11_en.vtt 16.5 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/18 - Predict Stocks Future Prices Using Machine and Deep Learning/013 Task 12.mp4 226.5 MB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/18 - Predict Stocks Future Prices Using Machine and Deep Learning/013 Task 12_en.vtt 33.8 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/18 - Predict Stocks Future Prices Using Machine and Deep Learning/28075236-stock.csv 243.8 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/18 - Predict Stocks Future Prices Using Machine and Deep Learning/28075238-stock-volume.csv 187 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/19 - Perform Bank Market Segmentation Using Unsupervised Machine Learning Techniques/003 Import libraries and datasets_en.vtt 18.8 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/19 - Perform Bank Market Segmentation Using Unsupervised Machine Learning Techniques/004 Visualize data_en.vtt 24.4 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/19 - Perform Bank Market Segmentation Using Unsupervised Machine Learning Techniques/005 Understand K-means algorithm_en.vtt 19 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/19 - Perform Bank Market Segmentation Using Unsupervised Machine Learning Techniques/010 Train autoencoder_en.vtt 15.3 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/19 - Perform Bank Market Segmentation Using Unsupervised Machine Learning Techniques/011 Apply autoencoder_en.vtt 16.4 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/19 - Perform Bank Market Segmentation Using Unsupervised Machine Learning Techniques/28075310-4.Marketing-data.csv 881.7 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/20 - Perform Sentiment Analysis On Stocks Data Using Natural Language Processing/004 Task 3_en.vtt 19.3 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/20 - Perform Sentiment Analysis On Stocks Data Using Natural Language Processing/005 Task 4_en.vtt 15.5 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/20 - Perform Sentiment Analysis On Stocks Data Using Natural Language Processing/006 Task 5_en.vtt 17.6 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/20 - Perform Sentiment Analysis On Stocks Data Using Natural Language Processing/007 Task 6_en.vtt 17.2 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/20 - Perform Sentiment Analysis On Stocks Data Using Natural Language Processing/008 Task 7.mp4 162.7 MB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/20 - Perform Sentiment Analysis On Stocks Data Using Natural Language Processing/008 Task 7_en.vtt 26.9 KB
[TutsNode.com] - Python & Machine Learning for Financial Analysis/20 - Perform Sentiment Analysis On Stocks Data Using Natural Language Processing/28075442-stock-sentiment.csv 466.7 KB

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