Data Science with Python
Master the art of data analysis, visualization, and predictive modeling.
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About This Course
Master the art of data analysis, visualization, and predictive modeling.
Silabus Course
01 Python for Data Science
1 Week
Python for Data Science
- Setting up the Environment (Anaconda, Jupyter Lab, Google Colab).
- Python Syntax Essentials: Variables, Data Types, Control Flow (If/Else, Loops).
- Functions and Lambda expressions.
- Key Concept: Understanding Python Lists vs. Dictionaries.
- Project: The Logic Builder – Build a simple script to automate a file organizing task."
02 Numerical Computing with NumPy
1 Week
Numerical Computing with NumPy
- Introduction to Arrays and Matrix operations.
- Vectorization vs. Loops (Speed optimization).
- Basic statistical functions (Mean, Median, Standard Deviation).
- Project : Matrix Mastery – Perform statistical analysis on a dataset of students' exam scores without using loops.
03 Data Analysis with Pandas (Part I)
1 Week
Data Analysis with Pandas (Part I)
- The DataFrame and Series objects.
- Loading Data (CSV, Excel, JSON).
- Indexing, Slicing, and Filtering data.
- Crucial Skill: Handling Missing Data (Imputation vs. Dropping).
- Project: Data Detective – Clean a "messy" dataset of customer records (fixing typos, filling null values)."
04 Advanced Pandas (Part II)
1 Week
Advanced Pandas (Part II)
- GroupBy and Aggregation (Pivot Tables).
- Merging, Concatenating, and Joining multiple datasets.
- Time Series Analysis (Handling dates and times).
- Feature Engineering (Creating new columns from existing data).
- Project : Retail Analyst – Analyze 12 months of sales data to find the best-performing financial quarter.
05 Data Visualization Fundamentals
1 Week
Data Visualization Fundamentals
- The Grammar of Graphics.
- Matplotlib: Creating the canvas, subplots, and customizing axes.
- Seaborn: Statistical plots (Boxplots, Heatmaps, Pairplots) for distribution analysis.
- Project : Visual Audit – Create a static report showing the correlation between marketing spend and revenue."
06 Exploratory Data Analysis (EDA)
1 Week
Exploratory Data Analysis (EDA)
- Univariate vs. Multivariate analysis.
- Identifying Outliers and Anomalies.
- Storytelling: How to title, label, and annotate charts for a non-technical audience.
- Project: The Insight Report – Perform a full EDA on a "Housing Price" dataset to determine what factors impact price the most."
07 Introduction to Machine Learning
1 Week
Introduction to Machine Learning
- Supervised Learning: Regression vs. Classification.
- Scikit-Learn Workflow: Train-Test Split, Model Fitting, Prediction.
- Model Evaluation: Accuracy, Precision, Recall, and RMSE.
- Algorithms: Linear Regression and Decision Trees.
- Project: The Predictor – Build a model to predict house prices
08 Capstone Integration & Deployment
1 Week
Capstone Integration & Deployment
- Building an interactive frontend with Streamlit.
- Integrating the Data Pipeline and ML Model into the app.
- Final Code Review and Refactoring.
- Publishing to GitHub."
Capstone Project
E-commerce Sales Dashboard
Analyze real-world sales data to identify trends, top-selling products, and customer demographics, visualized in an interactive dashboard.
Why Choose Corporate Training?
Training programs tailored to your team and organization's needs
Team Discounts
Get special pricing for group registrations. The more participants, the bigger the discount.
Custom Curriculum
Training materials can be tailored to your team's specific needs and company projects.
Flexible Schedule
Choose training times that suit your team: weekday, weekend, or special sessions at your office.
Official Certificate
All participants receive a professional certificate upon completion.
Post-Training Support
Get free consultation access for 30 days after training to ensure successful implementation.
Real Projects
Participants will work on real-world projects that can be immediately applied in their work environment.
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Frequently Asked Questions
Find answers to common questions about our training programs
Yes, we provide online (remote), offline (at your office, for corporate only), or hybrid training options based on your team's needs. All formats receive the same materials and certificates.
For corporate training, the minimum is 3 participants. However, we also accept individual registrations.
Absolutely. We offer custom curriculum services where materials can be tailored to your technology stack, active projects, and your team's specific needs.
Yes, we offer special group discounts: 10% for 5-9 participants, 15% for 10-14 participants, and 20-30% for 15+ participants from the same company.
Training duration varies depending on the material. For corporate training, schedules can be customized to your team's needs - weekday, weekend, or custom schedules.
Yes, all participants who complete the training will receive an official certificate from Rumah Coding. Digital certificates can be verified online.
Of course. We provide free consultation support for 30 days after training to help with implementation. Participants also get access to our exclusive community and training recording materials.
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For Companies?
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- Up to 30% discount
- Custom curriculum
- Flexible schedule