Analyzing Data with Python
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LEARN TO ANALYZE DATA WITH PYTHON
Learn how to analyze data using Python in this introductory course. You will go from understanding the basics of Python to exploring many different types of data through lecture, hands-on labs, and assignments. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more!
What you'll learn
- How to import data sets, clean and prepare data for analysis, summarize data, and build data pipelines
- Use Pandas DataFrames, Numpy multidimensional arrays, and SciPy libraries to work with various datasets
- Load, manipulate, analyze, and visualize datasets with pandas, an open-source library
- Build machine-learning models and make predictions with scikit-learn, another open-source library
- It includes following parts:
- Data Analysis libraries: will learn to use Pandas DataFrames, Numpy multi-dimentional arrays, and SciPy libraries to work with a various datasets. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions.
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| Rating | 4.0★ based on 1 ratings |
|---|---|
| Length | 5 weeks |
| Effort | 5 weeks, 2–4 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $99 |
| From | IBM via edX |
| Instructor | Joseph Santarcangelo |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Data Science |
| Tags | Computer Science Data Analysis & Statistics Engineering |
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What people are saying
not offer deep knowledge
In consequence, the course does not offer deep knowledge.
quite short - about
However the course is quite short - about 6 hours should be enough to complete it.
studied further somewhere else
You should rather consider it as a presentation of some concepts, which need to be studied further somewhere else.
intiguing and also ambitious
The list of topics is very intiguing and also ambitious.
about 6 hours
cleaning and analysis
However it serves as a nice introduction to data exploration, cleaning and analysis.
data exploration
nice introduction
rather consider
some concepts
Careers
An overview of related careers and their average salaries in the US. Bars indicate income percentile.
Data 1 2 $50k
Data Miner $53k
OR Data Coordinator $59k
Data Analysts $62k
Analyze Technician (troubleshooting) $72k
Data Reviewer $75k
Data Technician 3 $75k
IT Data Analyst 4 $89k
Data Scientist 3 4 $99k
Data Consulting $102k
Senior Data Modeler/Data Architect $152k
Enterprise Data Architecture / Data Modeler $217k
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| Rating | 4.0★ based on 1 ratings |
|---|---|
| Length | 5 weeks |
| Effort | 5 weeks, 2–4 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $99 |
| From | IBM via edX |
| Instructor | Joseph Santarcangelo |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Programming Data Science |
| Tags | Computer Science Data Analysis & Statistics Engineering |
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