Data Science + Python Programming: Hands-On Experience

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Pankaj Maheshwari

12:29:00

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1 - Installation Guide

1 - Get Started with Anaconda Navigator Installation Guide.txt

1 - Working in Jupyter Notebook.mp4

07:37

2 - Introduction to Python Programming

2 - Introduction to Python DataTypes Functions.mp4

30:35

2 - Maximizing Your Workflow with Pythons Boolean Data Type.txt

2 - The String Datatype in Python A HandsOn Guide.txt

2 - Write your first Python Code Hello World.txt

2 - the-finanalytics-wpb-chapter-1.1.1-introduction-to-python-datatypes-functions.zip

3 - Basic Fundamentals of Python Variables.mp4

23:35

3 - Understanding Variables in Python Declaration Assignment and Naming Conventions.txt

3 - the-finanalytics-wpb-chapter-1.1.2-basic-fundamentals-of-python.zip

3 - Python Operations

4 - Mastering Operators in Python A Comprehensive Guide.txt

4 - Perform Operations in Python.mp4

54:31

4 - the-finanalytics-wpb-chapter-1.1.3-perform-operations-in-python.zip

4 - Applications of Python DataTypes

5 - Applications of Python List.mp4

29:35

5 - the-finanalytics-wpb-chapter-1.1.5-applications-of-python-list.zip

6 - Extensions of Python List.mp4

25:25

6 - MustKnow Techniques for Manipulating Python Lists.txt

6 - the-finanalytics-wpb-chapter-1.1.5-extensions-of-python-list.zip

7 - Revision Extensions of Python List.mp4

06:12

8 - Applications of Python Tuple.mp4

29:48

8 - Python Lists vs Tuples Which One Should You Use.txt

8 - Python Tuples A Faster and Secure Data Structure.txt

8 - the-finanalytics-wpb-chapter-1.1.5-applications-of-python-tuple.zip

9 - Applications of Python Set.mp4

24:05

9 - Mastering Python Sets A Comprehensive Guide.txt

9 - the-finanalytics-wpb-chapter-1.1.5-applications-of-python-set.zip

10 - Applications of Python Dictionary.mp4

34:00

10 - Maximizing Your Productivity with Dictionaries in Python.txt

10 - the-finanalytics-wpb-chapter-1.2.1-exception-handling-in-python.zip

5 - Dynamic Statements in Python

11 - Dynamic Statements in Python Part 1.mp4

37:05

11 - the-finanalytics-pff-chapter-1.2.3-dynamic-statements-in-python-part-2.zip

12 - Dynamic Statements in Python Part 2.mp4

38:50

12 - the-finanalytics-pff-chapter-1.2.3-dynamic-statements-in-python-part-2.zip

13 - Exception Handling in Python.mp4

38:30

13 - Python Exception Handling BuiltIn Exceptions Best Practices.txt

13 - the-finanalytics-wpb-chapter-1.2.1-exception-handling-in-python.zip

6 - ObjectOriented Programming NextLevel

14 - Python Functions Methods.mp4

52:00

14 - the-finanalytics-wpb-chapter-1.2.4-python-functions-methods.zip

15 - ObjectOriented Programming OOP Part 1.mp4

32:45

15 - the-finanalytics-wpb-chapter-1.2.5-object-oriented-programming-language.zip

7 - Developing a Bank Account System Project

16 - Bank Account System An ObjectOriented Finance Project.txt

16 - Developing a Bank Account System Part 1.mp4

56:35

16 - The-FinAnalytics-Python-Project-Bank-Account-Manager-An-Object-Oriented-Finance-Project-FinalOutput.zip

16 - the-finanalytics-python-project-bank-account-manager-an-object-oriented-finance-project.zip

8 - Data Analytics Using Pandas

17 - Exploring Pandas Data Series From Basics.txt

17 - Pandas Data Series Part 1.mp4

36:45

17 - the-finanalytics-wpb-chapter-1.3.1-python-data-analysis-pandas-data-series-part-1.zip

18 - Pandas DataFrames Part 1.mp4

18:30

18 - Slicing and Dicing Data with Pandas.txt

18 - the-finanalytics-pff-chapter-1.1.7-pandas-dataframes.zip

9 - Python for Finance

19 - Building Block 10 Python for Finance.mp4

01:13:04

19 - Building a Stock Screening and Ranking Tool.txt

19 - The Financial Pythonist An Introduction.txt

19 - the-finanalytics-upf-chapter-2.1.0-building-blocks-1.0-python-for-finance.zip

20 - Call Option Explained A StepbyStep Guide for Beginners.txt

20 - Introduction to Call Option Derivative.mp4

22:25

20 - The Moneyness of Options.txt

21 - Introduction to Put Option Derivative.mp4

17:08

21 - Put Option Explained A StepbyStep Guide for Beginners.txt

21 - The Moneyness of Options.txt

22 - Building Block 20 Python for Finance.mp4

01:00:00

22 - Call Option Explained A StepbyStep Guide for Beginners.txt

22 - Innovation in Financial Markets How Quantitative and Computational Finance are Changing the Game.txt

22 - Put Option Explained A StepbyStep Guide for Beginners.txt

22 - The Moneyness of Options.txt

22 - the-finanalytics-upf-chapter-2.2.0-building-blocks-2.0-python-for-finance.zip

Description

Get Started with the Most Sought-After Skills in Data Science, Data Analytics, and Finance.

What You'll Learn?

You'll be proficient in Python programming and ready to start writing your own algorithms.
You'll understand popular libraries such as pandas, numpy, matplotlib, and a lot more.
You'll practice and reinforce python programming skills through exercises and projects.
You'll be able to apply python programming skills in real-world scenarios.

Who is this for?

Beginners and Intermediaries to Data Science, Data Analytics, and Finance.

Intermediaries who want to improve their career options in Data Science, Data Analytics, and Finance by learning Python.

Beginner Python Developers curious about Data Science and Finance.

What You Need to Know?

A computer - Windows 7/8/10 or above, Mac, and Linux are all supported. Setup and installation instructions are included.

Your enthusiasm to learn this go-to programming language.

Everything else needed to start programming in Python is already included.

No programming experience needed. You will learn everything you need to know.

More details

Description
Get Started with the Most Sought-After Skills in Data Science, Data Analytics, and Finance.
Our program is the perfect starting point for anyone looking to break into the exciting field of data science and data analytics. Whether you're a complete beginner or have some programming experience, our course will give you the skills and knowledge you need to succeed.
With a focus on hands-on learning, you'll get the opportunity to practice your skills and apply what you've learned in real-world scenarios. Our experienced instructors will guide you through the process, teaching you everything you need to know about Python programming and the use of popular libraries like pandas, numpy, and matplotlib.

In addition to the core curriculum, you'll also have access to a range of bonus materials, including exercises and quizzes, to help you practice and reinforce your skills. You'll also be part of a community of fellow students who are also learning Python, so you can collaborate and learn together.
By the end of the program, you'll be proficient in Python programming and ready to start writing your own algorithms. Don't miss out on this opportunity to take your skills to the next level and start your journey in the world of data science, data analytics, and finance.
âž¤ candidate must have a WindowsÂ OS 7/8/10 or above, MacÂ OS, or Linux before enrolling in this program.
âž¤ setup and installation instructions are included.
âž¤ hands-on experience on real-world projects.
âž¤ question & answer support incl. python model assistance.
âž¤ downloadable access to python-based models.
âž¤ get a certificate on completion.

Inclusion: Ace Your Python Programming Interview: A Comprehensive Guide
Are you looking to ace your Python programming interview and take your skills to the next level?
"Ace Your Python Programming Interview: A Comprehensive Guide" covers all the key concepts and topics you need to know to succeed in a Python programming interview, including data types, operators, loops, functions, object-oriented programming, modules, and exception handling. With clear explanations, numerous examples, and hands-on exercises, this guide will help you prepare for real-world programming challenges and solve problems efficiently.
Don't let your next Python programming interview catch you off guard - get Ace Your Python Programming Interview today and give yourself the best chance at success.

Our program is a perfect foundation stone to start a career in python programming by giving you the hands-on training and practical experience you need to succeed. You'll learn the ins and outs of python programming and become proficient in using libraries like pandas, numpy, and matplotlib. With our comprehensive modules, you'll have the tools and confidence you need to excel in python.
We're focused on delivering practical skills to data science, data analytics, and finance professionals with an in-depth understanding & implementation using python. We never stop adding more content to it.
Who this course is for:
Beginners and Intermediaries to Data Science, Data Analytics, and Finance.
Intermediaries who want to improve their career options in Data Science, Data Analytics, and Finance by learning Python.
Beginner Python Developers curious about Data Science and Finance.

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He is a seasoned market risk professional with over 9 years of experience in finance, investment, and risk management. His specialized focus is on market risk, and he has a track record of success handling a wide range of responsibilities, including quantitative assessment of internal and regulatory submissions, with a focus on the interest rate risk asset class of banks' portfolios, validation of risk measurement models, such as VaR, SVaR, and SPS models, through backtesting and stress testing, full revaluation and scenario-generating systems for VaR and SVaR, generation and validation of market risk reports across a variety of regulatory and internal event-specific scenarios, valuation of linear and non-linear fixed-income products, including derivative instruments and risk attribution.In addition to his professional experience, Pankaj is also a content creator. He built an ed-tech platform, "The FinAnalytics", that offers online learning programs to help candidates upskill and enable them to achieve their dream job. He has delivered 1000+ training sessions to post-grad students and employees with the most successful training programs being "Ultimate Python for Finance" and "Welcome to Python Basics" and has mentored 500+ candidates in India and other countries around the world. He has a strong belief in the transformative power of automation, machine learning, and artificial intelligence in the investment and risk management domains and is committed to helping others pursue these areas of study. In addition, he is proficient in programming languages such as Python, R, VBA, SQL, and JavaScript, as well as web design and development. His diversified portfolio of learning, including his proven track record of consistency, hard work, and a commitment to continuous learning, distinguishes him from others. He is a strategic thinker with a results-oriented approach, strong analytical and problem-solving skills, and a passion for investing.

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