Course Outline
Basic Excel
- Navigation
- Manipulating data
- Working with formulas and addresses
- Charts
Advanced Excel
- Logical functions
- Scenario analysis
- Solver
- Macros
- First glimpse of code: VBA
VBA
- Data types
- Writing a function
- Controlling a program: conditional evaluation and loops
- Debugging techniques
Data Analytics with Python
- Introducing Python
- Variables and types
- Data manipulation in Python using Pandas
- Writing functions
- Data visualization using Matplotlib and Seaborn
- Data wrangling with Pandas
Introduction to Machine Learning with Python
- Linear Regression using scikit-learn
- Classification and regression trees with Python
- Classification using Support Vector Machines and Random Forests
- Clustering techniques using scikit-learn
Requirements
- There are no specific requirements needed to attend this course.
Testimonials (5)
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
Ian - Archeoworks Inc.
Course - ArcGIS Fundamentals
Rapid and efficient VM Azure and top-notch support
Tom Leonard - Civadis
Course - Automated Monitoring with Zabbix
Machine Translated
All the topics which he covered including examples. And also explained how they are helpful in our daily job.
madduri madduri - Boskalis Singapore Pte Ltd
Course - QGIS for Geographic Information System
I liked Pablo's style, the fact that he covered a lot of subjects from report design , customization with html to implementing simple ML algortithms. Good balance theoretical information / exercices. Pablo really covered all topics i was interested in and gave comprehensive answers to my questions.
Cristian Tudose - SC Automobile Dacia SA
Course - Advanced Data Analysis with TIBCO Spotfire
Actual application of spotfire and all basic functions.