Online Course – Google Finance Certified Professional Internship in Data Science

Financial management in data-driven organizations. Get to know the key topics in data science for finance.

Suggested by: Coursera (What is Coursera?)

Professional Certificate

Beginners

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Understanding of key financial market management models
  • Implementation and monitoring of business strategies
  • Using data-driven techniques
  • Knowledge of major platforms in the financial market
  • Ability to collect, analyze and process data

What you will learn in the course

Courses for which the course is suitable

  • Data Analyst
  • Financial Analyst
  • Finance Project Manager
  • Financial Modeler
  • Investment advisor
  • Risk Manager
  • Data analysis specialist
  • Business Strategy Manager
  • Finance software developer
  • Financial Market Researcher

Internship – Series of 4 courses

The integrated course program is designed to introduce the applications of data science in the financial market, as well as to introduce the fundamentals of analytics in the field of finance to meet the growing demand for more advanced tools for collecting, analyzing, and processing data.

At the end of this program, you will be able to understand the main management models and the aspects related to implementing and monitoring business strategies using data-driven techniques and key platforms in the financial market.

Hands-on Learning Project

The integrated course program does not require the development of a practical project. Assessment activities are carried out during each course.

  • Each course consists of four assessments at the end of each module.
  • There are a total of 16 assessments throughout the integrated course program.

Details of the courses that make up the specialization

Data-driven finance

Course 1
30 hours
4.4 (17 ratings)

Welcome to the Data-Driven Finance course. In this course, you will learn that data has become the central asset in business today. With the rise of big data and new technologies, organizations in the financial market are constantly innovating and discovering new ways to analyze the potential of the data available to them.

The course is divided into four modules, offered in learning weeks. Each module consists of videos, readings, and tests to assess learning.

Skills you will acquire

  • Fintech
  • Data-driven finance
  • Data Analytics
  • Data-driven organization

Introduction to data science and engineering

Course 2
30 hours
4.3 (33 ratings)

In this course, you will learn the entire data science process and the use of technology in the connected world. The course is divided into four modules, offered in learning weeks.

Skills you will acquire

  • Big data
  • Data Science
  • Data Engineering
  • Data mining
  • Artificial Intelligence

Data Science Tools: Introduction to R

Course 3
0 minutes

Welcome to the Data Science Tools: Introduction to R course. In this course, you will learn about the leading analytical tools on the market, including the basics of the R language.

Key issues

  • Data science tools
  • Introduction to the R programming language
  • Using a development environment
  • Writing functions in R
  • Graphical analyses

Fundamentals of Artificial Intelligence for Finance

Course 4
27 hours
4.6 (10 ratings)

Welcome to the Fundamentals of Artificial Intelligence for Finance course. In this course, you will learn about digital innovation in finance and its impact on finance and accounting functions.

At the end of the course, you will be able to understand topics such as machine learning, deep learning, and artificial intelligence.

The course is divided into four modules, offered in learning weeks.