The top 5 Financial Data courses you need to take

1. Practical Financial Data Analysis With Python Data Science

4.9

(108)

THIS IS YOUR COMPLETE GUIDE TO FINANCIAL DATA ANALYSIS IN PYTHON! This course is your complete guide to analyzing real-world financial data using Python. All the main aspects of analyzing financial data- statistics, data visualization, time series analysis and machine learning will be covered in depth. If you take this course, you can do away with taking other courses or buying books on Python-based data analysis.  In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal. By becoming proficient in analysing financial data in Python, you can give your company a competitive edge and boost your career to the next level.                                                       LEARN FROM AN EXPERT DATA SCIENTIST  WITH +5 YEARS OF EXPERIENCE: Hey, my name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment), graduate. I recently finished a PhD at Cambridge University. I have +5 years of experience in analyzing real-life data from different sources using data science-related techniques and I have produced many publications for international peer-reviewed journals. Over the course of my research, I realised almost all the Python data science courses and books out there do not account for the multidimensional nature of the topic. So, unlike other instructors, I dig deep into the data science features of R and gives you a one-of-a-kind grounding in data science-related topics! You will go all the way from carrying out data reading & cleaning to finally implementing powerful statistical and machine learning algorithms for analyzing financial data. Among other things: You will be introduced to powerful Python-based packages for financial data analysis. You will be introduced to both the commonly used techniques, visualization methods and machine/deep learning techniques that can be implemented for financial data. & you will learn to apply these frameworks to real-life data including temporal stocks and financial data.  NO PRIOR PYTHON OR STATISTICS/MACHINE LEARNING KNOWLEDGE IS REQUIRED! You'll start by absorbing the most valuable Python Data Science basics and techniques. I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts in Python. My course will help you implement the methods using REAL DATA obtained from different sources. Many courses use made-up data that does not empower students to implement Python-based data science in real-life. After taking this course, you'll easily use the common time-series and financial analysis packages in Python. You'll even understand the underlying concepts to understand what algorithms and methods are best suited for your data. We will work with real data and you will have access to all the code and data used in the course.  JOIN MY COURSE NOW!...

2. Data-Driven Investing with Python Financial Data Science

4.5

(123)

Become a Data Driven Investor. Take the guesswork out of your investing forever. Leverage the power of Financial Data Science, Financial Analysis, Python, and Quantitative Finance to make robust investment decisions (and generate Alpha). Discover how to use rigorous statistical techniques on Python to guide your investment decisions (even if you don't know statistics or your math is weak). Say hello to the most comprehensive Data Driven Investing course on the internet. Featuring:# =============================# 2 PARTS, 8 SECTIONS TO MASTERY # =============================(plus, all future updates included!)Structured learning path, Designed for Distinction™ including:12.5 hours of engaging, practical, on-demand HD video lessonsReal-world applications throughout the course200+ quiz questions with impeccably detailed solutions to help you stay on track and retain your knowledgeAssignments that take you outside your comfort zone and empower you to apply everything you learnA Practice Test to hone in and gain confidence in the core evergreen fundamentalsPython code (built from scratch) to help you build a replicable system for investingMathematical proofs for the mathematically curiousAn instructor who's insanely passionate about Finance, Investing, Python, and Financial Data SciencePART I: INVESTMENT ANALYSIS FUNDAMENTALSStart by gaining a solid command of the core fundamentals that drive the entire investment analysis / financial analysis process. Explore Investment Security Relationships & Estimate ReturnsDiscover powerful relationships between Price, Risk, and ReturnsIntuitively explore the baseline fundamental law of Financial Analysis - The Law of One Price. Learn what Shorting a stock actually means and how it worksLearn how to calculate stock returns and portfolio returns from scratchWork with real-world data on Python and know exactly what your code does and why it worksEstimate Expected Returns of Financial SecuritiesExplore what expected returns are and how to estimate them starting with the simple meanDive deeper with state contingent expected returns that synthesize your opinions with the dataLearn how to calculate expected returns using Asset Pricing Models like the CAPM (Capital Asset Pricing Model)Discover Multi-Factor Asset Pricing Models including the Fama French 3 Factor Model, Carhart 4 (Momentum), and moreMaster the theoretical foundation and apply what you learn using real-world data on Python your own! Quantify Stock Risk and Estimate Portfolio RiskExamine the risk of a stock and learn how to quantify total risk from scratchApply your knowledge to any stock you want to explore and work withDiscover the 3 factors that influence portfolio risk (1 of which is more important than the other two combined)Explore how to estimate portfolio risk for 'simple' 2-asset portfoliosLearn how to measure portfolio risk of multiple stocks (including working with real-world data on Python!)Check your MasterySo. Much. Knowledge, Skills, and Experience. Are you up for the challenge? - Take the Test Towards MasteryIdentify areas you need to improve on and get better at in the context of Financial Analysis / Investment AnalysisSet yourself up for success in Financial Data Science / Quantitative Finance by ensuring you have a rigorous foundation in placePART II: DATA DRIVEN INVESTING FINANCIAL DATA SCIENCE / QUANTITATIVE FINANCESkyrocket your financial analysis / investment analysis skills to a whole new level by learning how to leverage Financial Data Science, Quantitative Finance and Python for your investing. Discover Data Driven Investing and Hypothesis DesignDiscover what data driven investing actually is, and what it entailsExplore the 5 Step Data Driven Investing process that's designed to help you take the guesswork out of your investment decision makingLearn how to develop investment ideas (including how/where to source them from)Explore the intricacies of research questions in the context of Financial Data Science / Data Driven InvestingTransform your investment ideas into testable hypotheses (even if you don't know what a testable hypothesis is)Source, Clean, and Explore Real-World DataExplore how and where you can source data to test and validate your own hypothesesMaster the backbone of financial data science - data cleaning - and avoid the GIGO trap (even if you don't know what GIGO is)Work with large datasets (arguably Big Data) with over 1 million observations using Python! Discover quick hacks to easily clean data on Python (and become aware of issues that are easy to miss)Learn while exploring meaningful questions on the impact of ESG in financial marketsConduct Exploratory Data AnalysisDiscover how to conduct one of the most common financial data science techniques - exploratory data analysis using PythonEvaluate intriguing relationships between returns and ESG (or another factor of your choice)Learn how to statistically test and validate hypotheses using 'simple' t-testsNever compromise on the mathematical integrity of the concepts - understand why equations work the way they doExplore how to update beliefs and avoid losing money by leveraging the power of financial data science, quantitative finance, and PythonDesign and Construct Investment PortfoliosExplore exactly what it takes to design and construct investment portfolios that are based on individual investment ideasLearn how to sort firms into buckets to help identify monotonic relationships (a vital analysis technique of financial data science)Leverage the power of Pandas in Python to conduct investment analysis like the Pros (Hedge Funds, Financial Data Scientists, Applied Researchers)Strengthen your financial data science skills by becoming aware of Python's surprising default settings (and what you can do to overcome them)Plot charts that drive meaningful insights for Quantitative Finance, including exploring portfolio performance over time using Matplotlib and SeabornStatistically Test and Validate HypothesesSay goodbye to guesswork, hope, and luck when it comes to making investment decisionsRigorously test and statistically validate your investment ideas by applying robust financial data science techniques on PythonAdd the use of sophisticated tools including simple t-stats and more 'complex' regressions to your suite of financial data science analyticsExplore what it really takes to search for and generate Alpha (to beat the market)Learn and apply tried and tested financial data science and quantitative finance techniques used by hedge funds, financial data scientists, and researchers on PythonDESIGNED FOR DISTINCTION™We've used the same tried and tested, proven to work teaching techniques that have helped our clients ace their professional exams (e. g., ACA, ACCA, CFA®, CIMA), get hired by the most renowned investment banks in the world, manage their own portfolios, take control of their finances, get past their fear of math and equations, and so much more. You're in good hands. Here's how we'll help you master incredibly powerful Financial Data Science & Financial Analysis techniques to become a robust data driven investor who leverages the power of Python... A Solid FoundationYou'll gain a solid foundation of the core fundamentals that drive the entire financial analysis / investment analysis process. These fundamentals are the essence of financial analysis done right. And they'll hold you in mighty good stead both when you start applying financial data science techniques in Part II of this course, but also long after you've completed this course. Top skills in quantitative finance - for the rest of your life. Practical WalkthroughsForget about watching videos where all the Python code is pre-written. We'll start from blank Python scripts on Jupyter Notebooks (like the real world). And we'll build all the Python code from scratch, one line at a time. That way you'll literally see how we conduct rigorous financial analysis / financial data science using data-driven investing as the core basis, one step at a time. Hundreds of Quiz Questions, Dozen Assignments, and Much MoreApply what you learn immediately with 200+ quiz questions, all with impeccably detailed solutions. Plus, over a dozen assignments that take you outside your comfort zone. There's also a Practice Test to help you truly hone your knowledge and skills. And boatloads of practical, hands-on walkthroughs where we apply financial data science / quantitative finance techniques in data driven investing environments on Python. Proofs & ResourcesMathematical proofs for the mathematically curious. And also because, what's a quantitative finance course without proofs?! Step-by-step mathematical proofs, workable and reusable Python code (in. ipynb Jupyter notebook and. py versions), variable cheat sheets - all included. Seriously. This is the only course you need to genuinely master Data Driven Investing, and apply Financial Data Science & Quantitative Finance techniques on Python without compromising on the theoretical integrity of concepts...

3. Data-Driven Investing with Excel ® Financial Data Science

4.7

(57)

Become a Data Driven Investor. Take the guesswork out of your investing forever. Leverage the power of Financial Data Science, Financial Analysis, and Quantitative Finance to make robust investment decisions (and generate Alpha). Discover how to use rigorous statistical techniques to guide your investment decisions (even if you don't know statistics or your math is weak). Say hello to the most comprehensive Data Driven Investing course on the internet. Featuring:# =============================# 2 PARTS, 8 SECTIONS TO MASTERY # =============================(plus, all future updates included!)Structured learning path, Designed for Distinction™ including:13 hours of engaging, practical, on-demand HD video lessonsReal-world applications throughout the course200+ quiz questions with impeccably detailed solutions to help you stay on track and retain your knowledgeAssignments that take you outside your comfort zone and empower you to apply everything you learnA Practice Test to hone in and gain confidence in the core evergreen fundamentalsExcel® spreadsheets/templates (built from scratch) to help you build a replicable system for investingMathematical proofs for the mathematically curiousAn instructor who's insanely passionate about Finance, Investing, and Financial Data SciencePART I: INVESTMENT ANALYSIS FUNDAMENTALSStart by gaining a solid command of the core fundamentals that drive the entire investment analysis / financial analysis process. Explore Investment Security Relationships & Estimate ReturnsDiscover powerful relationships between Price, Risk, and ReturnsIntuitively explore the baseline fundamental law of Financial Analysis - The Law of One Price. Learn what Shorting a stock actually means and how it worksLearn how to calculate stock returns and portfolio returns from scratchDownload and work with real-world data on Excel® for any stock(s) you want, anywhere in the worldEstimate Expected Returns of Financial SecuritiesExplore what expected returns are and how to estimate them starting with the simple meanDive deeper with state contingent expected returns that synthesise your opinions with the dataLearn how to calculate expected returns using Asset Pricing Models like the CAPM (Capital Asset Pricing Model)Discover Multi Factor Asset Pricing Models including the Fama French 3 Factor Model, Carhart 4 (Momentum), and more)Master the theoretical foundation and apply what you learn using real-world data on your own! Quantify Stock Risk and Estimate Portfolio RiskExamine the risk of a stock and learn how to quantify total risk from scratchApply your knowledge to any stock you want to explore and work withDiscover the 3 factors that influence portfolio risk (1 of which is more important than the other two combined)Explore how to estimate portfolio risk for 'simple' 2-asset portfoliosLearn how to measure portfolio risk of multiple stocks (including working with real-world data!)Check your MasterySo. Much. Knowledge, Skills, and Experience. Are you up for the challenge? - Take the Test Towards MasteryIdentify areas you need to improve on and get better at in the context of Financial Analysis / Investment AnalysisSet yourself up for success in Financial Data Science / Quantitative Finance by ensuring you have a rigorous foundation in placePART II: DATA DRIVEN INVESTING FINANCIAL DATA SCIENCE / QUANTITATIVE FINANCESkyrocket your financial analysis / investment analysis skills to a whole new level by learning how to leverage Financial Data Science and Quantitative Finance for your investing. Discover Data Driven Investing and Hypothesis DesignDiscover what data driven investing actually is, and what it entailsExplore the 5 Step Data Driven Investing process that's designed to help you take the guesswork out of your investment decision makingLearn how to develop investment ideas (including how/where to source them from)Explore the intricacies of research questions in the context of Financial Data Science / Data Driven InvestingTransform your investment ideas into testable hypotheses (even if you don't know what a testable hypothesis is)Collect, Clean, and Explore Real-World DataExplore how and where you can source data to test and validate your own hypothesesMaster the backbone of financial data science - data cleaning - and avoid the GIGO trap (even if you don't know what GIGO is)Work with large datasets (arguably Big Data) with over 1 million observations using Excel®! Discover quick hacks to easily extract large amounts of data semi-automatically on Google SheetsLearn while exploring meaningful questions on the impact of ESG in financial marketsConduct Exploratory Data AnalysisDiscover how to conduct one of the most common financial data science techniques - exploratory data analysis using Excel®! Evaluate intriguing relationships between returns and ESG (or another factor of your choice)Learn how to statistically test and validate hypotheses using 'simple' t-testsNever compromise on the mathematical integrity of the concepts - understand why equations work the way they doExplore how to update beliefs and avoid losing money by leveraging the power of financial data science and quantitative financeDesign and Construct Investment PortfoliosExplore exactly what it takes to design and construct investment portfolios that are based on individual investment ideasLearn how to sort firms into buckets to help identify monotonic relationships (a vital analysis technique of financial data science)Discover intricate hacks to speed up your workflow when working with large datasets on ExcelStrengthen your financial data science skills by becoming aware of Excel®'s bugs (and what you can do to overcome them)Plot charts that drive meaningful insights for Quantitative Finance, including exploring portfolio performance over timeStatistically Test and Validate HypothesesSay goodbye to guesswork, hope, and luck when it comes to making investment decisionsRigorously test and statistically validate your investment ideas by applying robust financial data science techniquesAdd the use of sophisticated tools including simple t-stats and more 'complex' regressions to your suite of financial data science analyticsExplore what it really takes to search for and generate Alpha (to beat the market)Learn and apply tried and tested financial data science and quantitative finance techniques used by hedge funds, financial data scientists, and researchersDESIGNED FOR DISTINCTION™We've used the same tried and tested, proven to work teaching techniques that have helped our clients ace their professional exams (e. g., ACA, ACCA, CFA®, CIMA), get hired by the most renowned investment banks in the world, manage their own portfolios, take control of their finances, get past their fear of math and equations, and so much more. You're in good hands. Here's how we'll help you master incredibly powerful Financial Data Science & Financial Analysis techniques to become a robust data driven investor... A Solid FoundationYou'll gain a solid foundation of the core fundamentals that drive the entire financial analysis / investment analysis process. These fundamentals are the essence of financial analysis done right. And they'll hold you in mighty good stead both when you start applying financial data science techniques in Part II of this course, but also long after you've completed this course. Top skills in quantitative finance - for the rest of your life. Practical WalkthroughsForget about watching videos where all the Excel® templates are pre-built. We'll start from blank Excel® spreadsheets (like the real world). And we'll build everything from scratch, one cell at a time. That way you'll literally see how we conduct rigorous financial analysis / financial data science using data-driven investing as the core basis, one step at a time. Hundreds of Quiz Questions, Dozen Assignments, and Much MoreApply what you learn immediately with 200+ quiz questions, all with impeccably detailed solutions. Plus, over a dozen assignments that take you outside your comfort zone. There's also a Practice Test to help you truly hone your knowledge and skills. And boatloads of practical, hands-on walkthroughs where we apply financial data science / quantitative finance techniques in data driven investing environments. Proofs & ResourcesMathematical proofs for the mathematically curious. And also because, what's a quantitative finance course without proofs?! Step-by-step mathematical proofs, workable and reusable Excel® spreadsheets, variable cheat sheets - all included. Seriously. This is the only course you need to genuinely master Data Driven Investing, and apply Financial Data Science & Quantitative Finance techniques without compromising on the theoretical integrity of concepts...

4. Building Financial Dashboard in Google Data Studio

4.6

(305)

Learn from a Financial business intelligence analyst for a Group of more than 10 companies. Create Powerful Interactive Financial Dashboards from Google Sheets Data from scratch. No VBA or SQL coding require, just drag and drop, copy and paste. Analyze Google Sheets in minutes using powerful visualizations. Learn powerful visualizations such as Time Series Charts, Scorecards, Pie Charts, Stacked Area Charts. Display comparisons to Previous Period, Previous Year, in one scorecard. Create Financial Year to Date Calculations. Create filters to easily create interactive dashboards, graphs and reports. Create date range selection to easily manage the display range in the charts . Share Reports and Updating Data. Create pages navigation to make a report look like running in a professional financial software. Learn how to Fix error. Free access to the report anytime, anywhere by signing in Google Account...