Thanks to this 100% online Postgraduate Certificate, you will use Plotly and Google Data Studio to create dashboards or graphs of Financial Data” 

A new report by the Organization for Economic Cooperation and Development highlights that 90% of financial analysts consider Data Visualization a critical decision-making skill. In response to this trend, tools such as Plotly and Google Data Studio have been adopted by international financial institutions for the creation of visual reports that facilitate the understanding of both macroeconomic and microeconomic indicators. Hence the importance for professionals to keep abreast of the latest developments in this field in order to improve the clarity and accessibility of financial reports. 

In this context, TECH presents a pioneering program in Financial Data Analysis and Visualization with Plotly and Google Data Studio. Designed by references in this field, the academic itinerary will delve into issues ranging from the most innovative techniques for the exploratory analysis of financial data or the identification of trends to time series models. Likewise, the syllabus will analyze the use of interactive visualization tools such as Dash, which will allow students to analyze financial time series such as historical stock prices, interest rates or sales trends. In this way, graduates will develop advanced skills to create complex visualizations of financial data using Plotly and Google Data Studio. 

To consolidate all this content, TECH uses its disruptive Relearning method, which consists of the progressive reiteration of key concepts for their correct assimilation. In addition, the university program provides professionals with a variety of real case studies, allowing professionals to practice in simulated environments to acquire advanced skills. In this sense, to access the didactic resources, graduates will only need to have an electronic device with an Internet connection. Therefore, they will access the Virtual Campus and will enjoy a library full of multimedia resources such as interactive summaries, specialized readings or explanatory videos. 

Master Python Data Analytics libraries at the world's best digital university according to Forbes”   

This Postgraduate certificate in Financial Data Analysis and Visualization with Plotly and Google Data Studio contains the most complete and up-to-date program on the market. The most important features include:

• Development of practical cases presented by experts in Artificial Intelligence
• The graphic, schematic, and practical contents with which they are created, provide practical information on the disciplines that are essential for professional practice
• Practical exercises where self-assessment can be used to improve learning
• Its special emphasis on innovative methodologies  
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
• Content that is accessible from any fixed or portable device with an Internet connection 

You'll delve into how Natural Language Processing enables you to generate summaries of financial reports, meeting transcripts, and legal documents” 

The program’s teaching staff includes professionals from the field who contribute their work experience to this educational program, as well as renowned specialists from leading societies and prestigious universities.  

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.  

This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the course. For this purpose, students will be assisted by an innovative interactive video system created by renowned and experienced experts.   

Looking to identify financial problems and propose solutions based on Data Analytics? Get it through this university program in just 6 weeks"

TECH's revolutionary Relearning system will allow you to assimilate the most complex concepts in a fast, natural and accurate way"

The study plan will delve into the most sophisticated techniques of exploratory analysis of financial data, taking into account factors such as information visualization with Python or the identification of patterns and trends. In this sense, the syllabus will delve into the evaluation of clusters in financial data so that students can create predictive models that improve strategic decision making based on data. In addition, the didactic materials will analyze the use of tools for text analysis, which will allow graduates to identify patterns in financial reports such as balance sheets, income statements and cash flows. 

You will integrate data from different sources in Business Intelligence tools to obtain a comprehensive view of a company's financial situation” 

Module 1. Financial Data Analysis and Visualization with Plotly and Google Data Studio 

1.1. Fundamentals of Financial Data Analysis 

1.1.1. Introduction to Data Analysis 
1.1.2. Tools and Techniques for Financial Data Analysis 
1.1.3. Importance of Data Analysis in Finance 

1.2. Techniques for Exploratory Analysis of Financial Data 

1.2.1. Descriptive Analysis of Financial Data 
1.2.2. Visualization of Financial Data with Python and R 
1.2.3. Identify Patterns and Trends in Financial Data 

1.3. Financial Time Series Analysis 

1.3.1. Fundamentals of Time Series 
1.3.2. Time Series Models for Financial Data 
1.3.3. Time Series Analysis and Forecasting 

1.4. Correlation and Causality Analysis in Finance 

1.4.1. Correlation Analysis Methods 
1.4.2. Techniques for Identifying Causal Relationships 
1.4.3. Applications in Financial Analysis 

1.5. Advanced Visualization of Financial Data 

1.5.1. Advanced Data Visualization Techniques 
1.5.2. Tools for Interactive Visualization (Plotly, Dash) 
1.5.3. Use Cases and Practical Examples 

1.6. Cluster Analysis in Financial Data 

1.6.1. Introduction to Cluster Analysis 
1.6.2. Applications in Market and Customer Segmentation 
1.6.3. Tools and Techniques for Cluster Analysis 

1.7. Network and Graph Analysis in Finance 

1.7.1. Fundamentals of Network Analysis 
1.7.2. Applications of Network Analysis in Finance 
1.7.3. Network Analysis Tools (NetworkX, Gephi) 

1.8. Text and Sentiment Analysis in Finance 

1.8.1. Natural Language Processing (NLP) in Finance 
1.8.2. Sentiment Analysis in News and Social Networks 
1.8.3. Tools and Techniques for Text Analysis 

1.9. Financial Data Analysis and Visualization Tools with AI 

1.9.1. Data Analysis Libraries in Python (Pandas, NumPy) 
1.9.2. Visualization Tools in R (ggplot2, Shiny) 
1.9.3. Practical Implementation of Analysis and Visualization 

1.10. Practical Analysis and Visualization Projects and Applications 

1.10.1. Development of Financial Data Analysis Projects 
1.10.2. Implementation of Interactive Visualization Solutions 
1.10.3. Evaluation and Presentation of Project Results  

You will be able to conveniently access the content of this Postgraduate certificate from your electronic device with Internet of choice. Even from your smartphone!”