Coursera
MOOC / Non-credit
0
Introduction to Data Science Techniques
About this course
This specialization introduces learners to essential data science techniques, including time series analysis, statistical learning, and data preparation. Learners will develop foundational skills in data exploration, cleaning, and visualization, as well as core competencies in building predictive models and interpreting statistical outputs to drive business and research insights.
C
67/100
CourseAsk score
- What the provider tells you
- 31/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- time series analysis
- statistical learning
- data exploration
- data cleaning
- data visualization
- predictive modeling
- statistical output interpretation
Course objectives
- develop foundational data science skills
- learn to clean and visualize data
- understand statistical methods for analysis
Data Analysis
#data visualization
#statistical analysis
#predictive modeling
#data cleaning
#data science
#analytics
#data insights
#data preparation
#time series
#statistical learning
$49.00
Price shown by Coursera — confirm on their site.
Enroll on CourseraYou'll be redirected to Coursera to complete enrollment.
- Listed & compared by CourseAsk
- English · 0
Coursera
![[DOD] Applied Remote Sensing and GIS](https://prod-discovery.edx-cdn.org/cdn-cgi/image/width=auto,height=auto,quality=75,format=webp/media/course/image/5a45ff9c-6bec-4dc9-b8f4-2e2a77f7c114-9a51e0dca135.jpeg)
edX
Compared on these lists
Where this course ranks against the alternatives.