Data Science & Machine Learning Fundamentals

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Level 2

Approx 2h to complete

100% online and self-paced

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From $497/year

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Overview

Data Science Fundamentals Course Overview

Data science allows us to make data-driven insights. In this Data Science Fundamentals course, we will give you an overview of how data science is used in the business and finance world. We will go through the data science cycle for building machine learning models to make predictions.



First, we will discuss exploratory data analysis, feature selection, feature engineering, and other common methods to understand and prepare the data for analysis. Then we will explore a few different algorithms used for both unsupervised and supervised machine learning models. We will also discuss how to use validation/resampling techniques to train and test the data. Finally, we will explore evaluation techniques to assess the model’s performance and improve the model based on the evaluation results. We will demonstrate the data science cycle using a real-life scenario.

A dashboard being built in Excel


Data Science Fundamentals Learning Objectives

Upon completing this course, you will be able to:

  • Outline the data science cycle and machine learning process
  • Explain the commonly used feature selection and feature engineering methods
  • List the algorithms mostly used in supervised and unsupervised learning
  • Read the key metrics used to evaluate a machine learning model
  • Explain the techniques used to improve an underfitting or overfitting model


Chapter 3 learning objectives


Data Science Fundamentals is a Prep Course of CFI’s BIDA™ Program

CFI's upcoming Business Intelligence & Data Analyst (BIDA)™ program will cover all the basic, intermediate, and advanced topics about business intelligence and data analysis. This program will teach you the quantitative methods used in the finance and capital markets industry. It is ideal for students who want to learn how to analyze complex data.

Common career paths for students who take the BIDA™ program are Business Intelligence, Asset Management, Data Analyst, Quantitative Analyst, and other finance careers.

Students can sign up for updates and reserve a spot in the Business Intelligence & Data Analyst (BIDA)™ Program on the student dashboard. 


Who Should Take This Course?

This Data Science Fundamentals course is perfect for anyone who would like to build up their understanding of data analysis and machine learning. This course is designed to equip anyone who desires to begin a career in data analysis, quantitative analysis, business intelligence, or other areas of business and finance.


Become a certified Business Intelligence & Data Analyst (BIDA)™

Data Science & Machine Learning Fundamentals is part of the Business Intelligence & Data Analyst (BIDA)™ certification, which includes 17 BIDA courses + all future courses in the program.

Business Intelligence & Data Analyst (BIDA)™ Certification
  • Skills Learned Data Visualization, Data Warehousing and Transformation, Data Modeling and Analysis
  • Career Prep Business Intelligence Analyst, Data Scientist, Data Visualization Specialist

What Our Students Say

Helpful!
It helps me improve myself!

Yunke Xia

Amélioration
Very good quality of the course and the teacher

Junior Bitha omgba

Must take course
I recommend this course for traders, fund managers or anyone professional in the capital finance industry with a undergraduate or knowledge in programming. It will make you more valuable within the company and a contributor in developing machine learning for the company.

Lee Anselmo Blackman

Great Course
comprehensively informative lessons that offer deep understanding of fundamental concepts of data science

Casper Onsare

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