Corporate Finance Institute
Practical Data Science for Data Analysts Specialization
Corporate Finance Institute

Practical Data Science for Data Analysts Specialization

Practical Data Science for Data Analysts. Advanced Finance and Data Science Specialization

Access provided by New York State Department of Labor

Get in-depth knowledge of a subject
4.8

(9 reviews)

Advanced level

Recommended experience

3 months
at 2 hours a week
Flexible schedule
Learn at your own pace
Get in-depth knowledge of a subject
4.8

(9 reviews)

Advanced level

Recommended experience

3 months
at 2 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Build machine learning models in Python for financial trend analysis and prediction

    Data cleaning and feature engineering to enhance model accuracy

Details to know

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Taught in English
Recently updated!

November 2024

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from Corporate Finance Institute
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Specialization - 5 course series

What you'll learn

Skills you'll gain

Category: Supervised Learning
Category: Feature Engineering
Category: Exploratory Data Analysis
Category: Data Science
Category: Predictive Analytics
Category: Data Analysis
Category: Machine Learning
Category: Data-Driven Decision-Making
Category: Classification And Regression Tree (CART)
Category: Statistical Methods
Category: Regression Analysis
Category: Data Modeling
Category: Business Intelligence
Category: Business Analytics
Category: Data Cleansing

Python Fundamentals

Course 25 hours

What you'll learn

Skills you'll gain

Category: Data Transformation
Category: Pandas (Python Package)
Category: NumPy
Category: Data Manipulation
Category: Statistical Analysis
Category: Computer Programming
Category: Python Programming
Category: Statistical Methods
Category: Data Cleansing
Category: Matplotlib
Category: Exploratory Data Analysis
Category: Data Import/Export
Category: Seaborn
Category: Financial Data
Category: Data Analysis
Category: Data Visualization Software
Category: Financial Analysis
Category: Data Science

What you'll learn

Skills you'll gain

Category: Regression Analysis
Category: Statistical Modeling
Category: Correlation Analysis
Category: Microsoft Excel
Category: Predictive Modeling
Category: Statistical Analysis
Category: Pandas (Python Package)
Category: Data Analysis
Category: Scikit Learn (Machine Learning Library)
Category: Supervised Learning

What you'll learn

Skills you'll gain

Category: Supervised Learning
Category: Regression Analysis
Category: Machine Learning
Category: Machine Learning Algorithms
Category: Predictive Modeling
Category: Business Metrics
Category: Exploratory Data Analysis
Category: Predictive Analytics
Category: Advanced Analytics
Category: Applied Machine Learning
Category: Algorithms
Category: Analytics
Category: Scikit Learn (Machine Learning Library)
Category: Performance Metric
Category: Data Analysis

What you'll learn

Skills you'll gain

Category: Exploratory Data Analysis
Category: Feature Engineering
Category: Data Cleansing
Category: Data Visualization
Category: Pandas (Python Package)
Category: Data Science
Category: Scikit Learn (Machine Learning Library)
Category: Scatter Plots
Category: Statistical Analysis
Category: Data Import/Export
Category: Data Transformation
Category: Data Manipulation
Category: Box Plots
Category: Python Programming
Category: Histogram

Instructor

CFI (Corporate Finance Institute)
Corporate Finance Institute
29 Courses33,929 learners

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