Python for Data Science
3
Days
Data Science Toolkit
Day 1
Get In Touch
PT. Algoritma Data Indonesia.
RDTX Square, 9th Floor. Setiabudi, DKI Jakarta 12930.
WhatsApp: 0816-692-471
Email: community@algorit.ma
Course details :
This 3-day workshop is a careful combination of statistical theory, hands-on coding and programming exercises to help students understand — and implement — some of the most widely used, and fundamental, machine learning algorithms in Python.
By building regressors and classifier algorithms from scratch, the student will go beyond applying machine learning models to actually developing their own models — and learn the right approach to fine-tuning the model performance as well as evaluating model fit against unseen data. Upon completion of the workshop, the student will be well versed in an array of important, versatile machine learning algorithms and equipped with the right knowledge to apply them to future data sets in their daily job.
Data is the new oil. – Clive Humby
Please bring along:
- 1x Laptop
- Purchased ticket (from organizer’s website)
PARTNERS:
Schedule
Event Ended
Explore other data science workshops
Trainer
Steven Christian
steven@algorit.ma
Detailed Syllabus
Syllabus: Python for Data Science
6 November 2017
Data Science Explained
- Description of course materials and the learning environment
- A comprehensive view on the roles of data science, the relating professions, career prospects and outlook.
- Description of the workflow, tools, setup and programming languages in the course
Python Programming Basics
- Basic data types: boolean, number, and text
- Sequence data types: tuple, list, set, dictionary
- Working with numbers
- String functions
Data Science Packages
- Introduction of data science packages in Python
7 November 2017
Pandas: Introduction to Dataframe
- Selecting data
- Boolean indexing
- Statistics
- Aggregation
- Applying function
Linear Regression
- Code examples of linear regression
- Dependent and independent variables
- Inspecting data using built-in functions
- Interpreting coefficients
8 November 2017
Multivariable Regression
- Multivariable Regression
- R-squared
- Residual Plot
Machine Learning Classification
- Decision tree
- Entropy & Gini
- Model building
- Multiclass classification
- Training on unseen data
- Science project
This workshop will cost 3 workshop credits for subscribers. Non-subscribers are welcomed to participate at a cost of IDR 3,000,000.
Workshop Receivables:
Data Science Fundamentals Series
Workshops in our Data Science Fundamentals series are tailored to casual learners, working professionals and non-programmers that are taking their first steps into data science and machine learning.
Students are not assumed to have a working knowledge of R or prior proficiency in statistics / mathematics / algebra. At such the workshop follows a gentle learning curve and emphasize on hands-on, one-to-one tutoring from our team of instructors and teaching assistants.
Consider taking our Data Science Intermediate workshops instead for more advanced-level materials in statistical programming and machine learning.
Students work through tons of real-life examples using sample datasets donated by our team of mentors and corporate partners. We believe in a learn-by-building approach, and we employ instructors who are uncompromisingly passionate about your growth and education.
