Data Science for Professionals
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What you'll learn
Explain the principles and processes of data science.
Perform data manipulation and cleaning using Python.
Apply statistical analysis and data visualization techniques to interpret data.
Build and evaluate predictive models using machine learning algorithms.
Skills you'll gain
- Statistical Analysis
- Applied Machine Learning
- Data Preprocessing
- Data Presentation
- Data Wrangling
- Statistical Methods
- Data Literacy
- Data Manipulation
- Predictive Modeling
- Data Science
- Analytics
- Data-Driven Decision-Making
- Data Analysis
- Data Visualization
- Machine Learning Methods
- Business Analytics
- Predictive Analytics
- Statistics
- Data Cleansing
- Model Evaluation
Details to know
See how employees at top companies are mastering in-demand skills
There is 1 module in this course
Data science has become indispensable across industries, driving informed decision-making and uncovering valuable insights from data. This course is designed for professionals seeking to leverage data science techniques and tools to extract meaningful information from data and drive organizational success. From data wrangling to predictive modeling, this course covers key concepts and practical skills essential for professionals in today's data-driven world.
This course is designed for Business Professionals, Analysts, Managers, Consultants, and Researchers who seek to leverage data science techniques to extract meaningful information and drive organizational success. It is ideal for individuals looking to enhance their decision-making capabilities and gain a competitive edge through data-driven insights. Participants should have a basic comprehension of data concepts and familiarity with basic statistics. This foundational knowledge will enable learners to grasp the course content effectively and apply data science techniques and tools in practical scenarios. After completing this course, learners will be able to explain the principles and processes of data science. They will acquire skills in data manipulation and cleaning using Python, apply statistical analysis and data visualization techniques to interpret data, and build and evaluate predictive models using machine learning algorithms.
Data science has become indispensable across industries, driving informed decision-making and uncovering valuable insights from data. This course is designed for professionals seeking to leverage data science techniques and tools to extract meaningful information from data and drive organizational success.
What's included
11 videos4 readings2 assignments
11 videos•Total 49 minutes
- Introduction to the Course & Meet the Instructor•2 minutes
- Exploring Data Science •6 minutes
- Data Wrangling Techniques •5 minutes
- Exploratory Data Analysis (EDA) •4 minutes
- Introduction to Statistical Analysis •6 minutes
- Introduction to Machine Learning •8 minutes
- Building and Evaluating Predictive Models •5 minutes
- Introduction to Data Visualization •3 minutes
- Advanced Data Visualization Techniques •3 minutes
- Communicating Insights from Data •4 minutes
- Congratulations and Continuous Learning Journey•2 minutes
4 readings•Total 20 minutes
- Welcome to the Course: Course Overview•5 minutes
- Beginner’s Guide to Exploratory Data Analysis•5 minutes
- The Ultimate Guide to Evaluation and Selection of Models in Machine Learning•5 minutes
- How Data Visualization Supports Communication•5 minutes
2 assignments•Total 35 minutes
- Statistical Analysis and Machine Learning Fundamentals •15 minutes
- Data Science for Professionals•20 minutes
Instructors
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Reviewed on Dec 27, 2024
It's an impressive experience for me to get introduced to things really important in terms of data science career professionals.
Frequently asked questions
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Financial aid available,