Thank you for sending your enquiry! One of our team member will contact you shortly.
Thank you for sending your booking! One of our team member will contact you shortly.
Course Outline
Day 1
Data Analysis with pandas
-
Using vectorized data in pandas
-
Data wrangling
-
Sorting and filtering data
-
Aggregate operations
-
Analyzing time series
Data visualisation
-
Plotting diagrams with matplotlib
-
Using matplotlib from within pandas
-
Creating quality diagrams
-
Visualizing data in Jupyter notebooks
-
Other visualization libraries in Python
Day 2
Vectorizing Data in Numpy
-
Creating Numpy arrays
-
Common operations on matrices
-
Using ufuncs
-
Views and broadcasting on Numpy arrays
-
Optimizing performance by avoiding loops
-
Optimizing performance with cProfile
Other Python libraries for data analysis
-
scikit-learn
-
Scipy
-
statsmodel
-
RPy2
Requirements
Basic Python and data analysis skills
Testimonials
I liked the customized, in-house file processing and data analysis.
Glycom A/S
I enjoyed the that we have used our own data as examples.
Glycom A/S
Trainer develops training based on participant's pace
Farris Chua
The notebooks and examples were on point.
The explanation provided is clear.
The notebooks and examples were on point.
The explanation provided is clear.
Related Courses
Automated Monitoring with Zabbix
14 hours
Databricks
14 hours
Data Cleaning
7 hours
Datadog Monitoring
7 hours
Netdata
7 hours
Zenoss Monitoring for Administrators
21 hours
Fluentd for Log Data Unification
14 hours
KNIME Analytics Platform for BI
21 hours
Nagios
35 hours
Nagios Core
21 hours
Nagios XI Administration
21 hours
Sensu: Beginner to Advanced
14 hours
SPSS Modeler
14 hours