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SPECIALIZED LEARNING TRACK

Python & Programming

From Core Syntax & Time Series Analysis to Enterprise Databricks

Courses: 4 ModulesLevel: Beginner to IntermediateMode: Practical Code-Along

PATHWAY SPECIFICATIONS

4 MODULES
Weekly Effort5–7 hrs/week
Guided Projects4+ Code Libraries
Instruction ModePractical Code-Along
Digital CertificateVerified LinkedIn Endorsement
Mode: Practical Code-Along
Skill Level: Beginner to Intermediate
Effort: 5–7 hrs/week
Projects: 4+ Code Libraries
TIMELINE ROADMAP

Detailed Curriculum & Modules

Progression roadmap designed to take you step-by-step through Python & Programming.

01

Python Powerhouse & Object-Oriented Code

2 Weeks

Write clean, modular Python 3 scripts with object-oriented standards.

Core Topics Covered:
Data types, control structures, functions, and lambda expressions
Object-Oriented Programming (Classes, Methods, Inheritance)
Virtual environments, pip package management, and debugging
02

Time Series Analysis & Forecasting

3 Weeks

Analyze temporal data trends, seasonality, and predictive forecasting.

Core Topics Covered:
Stationarity testing, autocorrelation (ACF/PACF) plots
ARIMA, SARIMAX, and Facebook Prophet forecasting models
Evaluating forecast accuracy (RMSE, MAPE, MAE)
03

Databricks & Apache Spark Distributed Processing

3 Weeks

Process massive datasets using Apache Spark on Databricks Lakehouse.

Core Topics Covered:
Databricks workspace setup and PySpark DataFrames
Distributed transformations, actions, and Spark SQL
Delta Lake architecture and ACID data management
TECH STACK

Tools & Platforms You Master

Language

Python 3

Core programming language for data & AI

Engine

Apache Spark

Distributed big data processing framework

Platform

Databricks

Unified cloud data lakehouse platform

Library

Pandas

Data manipulation & DataFrame processing

Forecasting

Prophet

Time series forecasting library

IDE

VS Code

Modern developer code editor

CAREER OUTCOMES

What You Will Achieve

OUTCOME 01

Clean Modular Python Syntax

Write reusable, production-ready Python code adhering to OOP and PEP8 standards.

OUTCOME 02

Predictive Time Series Forecasting

Model temporal business metrics like sales, web traffic, and stock demand.

OUTCOME 03

Big Data Processing with Spark

Transform gigabytes of raw data using Apache Spark on Databricks.

OUTCOME 04

Software Engineering Foundations

Master version control, environment isolation, and clean project architecture.

THE AI SCHOOL PH

VERIFIED CREDENTIAL #PH-231662

OFFICIAL CERTIFICATE

This certifies that

[ Your Full Name ]

has successfully completed all requirements, practical lab projects, and assessment modules for

Certified Python & Data Engineering Specialist

Python 3 OOPTime Series ForecastingPySparkDatabricks
Verifiable on LinkedIn
The AI School Philippines
CAREER CREDENTIAL

Stand Out to Employers with Verified Proof

Credential validating software development and big data engineering in Python.

Direct LinkedIn Integration

1-click addition to your LinkedIn licenses & certifications section with cryptographic verification.

Portfolio-Backed Projects

Includes direct links to your hands-on code repositories and deployed workshop projects.

Endorsed by Tech Startup Leaders

Issued by active startup founders, CTOs, and AI leaders across the Philippines tech ecosystem.

FREQUENTLY ASKED QUESTIONS

Python & Programming FAQs

Specific answers regarding prerequisites, schedule, and projects for Python & Programming.

Python is designed with clean, readable syntax and is considered the best language for beginners entering software and AI.
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