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Data & Analytics WORKSHOP

Data Analysis

A 10-hour intensive data analysis workshop bridging core analytics with modern AI-assisted tools. Master data cleaning, exploratory data analysis (EDA), SQL queries, and predictive insights to solve complex business problems with confidence.

Duration: 10 hrsLevel: Beginners – AdvanceFormat: Practical Lab

QUICK SPECIFICATIONS

4.8/5 Rating
Hands-on Ratio90% Practical
Projects Built5+ Projects
Total Graduates2,900+ Alumni
Official CertificateYes (LinkedIn Verifiable)
Instructors: Active Tech Startup Leaders
90% Practical Hands-on Coding/Labs
Verifiable Digital LinkedIn Certificate
TOOLKIT

Tools & Platforms You Will Master

Hands-on practice using actual commercial tools and open platforms for Data Analysis.

Data Processing

Python (Pandas/NumPy)

Data manipulation & numerical computation

IDE

Jupyter Notebooks

Interactive data analysis environment

Database

PostgreSQL / SQL

Querying relational enterprise data

AI Analytics

ChatGPT Code Interpreter

Automated Python code generation & EDA

Visualization

Matplotlib & Seaborn

Statistical data plotting

Library

Automated EDA Tools

Fast profiling reports for raw CSVs

CURRICULUM

Module-by-Module Breakdown

MODULE 01SECTION 1 OF 4

Data Wrangling & Cleaning with Python & Pandas

Handle missing values, dirty data formats, duplicates, and type conversions efficiently.

Learning Outcomes:
Import CSV, Excel, and JSON datasets into Pandas DataFrames
Clean missing or malformed values using automated Python pipelines
Reshape data with pivot tables, melts, and groupby aggregations
MODULE 02SECTION 2 OF 4

SQL Fundamentals for Extracting Business Data

Query enterprise relational databases using SELECT, JOIN, GROUP BY, and subqueries.

Learning Outcomes:
Write multi-table SQL JOINs to aggregate customer & sales data
Filter and group data using HAVING and WHERE conditions
Utilize window functions for running totals and rankings
MODULE 03SECTION 3 OF 4

Exploratory Data Analysis (EDA) & Visualization

Discover hidden patterns, correlations, and outliers through statistical charts.

Learning Outcomes:
Generate automated EDA profiling reports in 1 click
Plot heatmaps, scatter plots, and distribution histograms with Seaborn
Identify key drivers behind revenue growth or customer churn
MODULE 04SECTION 4 OF 4

AI-Assisted Predictive Analytics & Reporting

Leverage AI code interpreters to build predictive regression models and executive summaries.

Learning Outcomes:
Use AI to write complex Python data processing scripts
Build simple predictive linear regression models
Compile insights into clear, executive-ready data stories
AUDIENCE

Who Should Enroll

01

Aspiring Data Analysts

Build a solid portfolio of hands-on data projects for job applications.

02

Business & Financial Analysts

Graduate from static Excel sheets to powerful Python & SQL data pipelines.

03

Marketing & Operations Managers

Analyze campaign performance, user retention, and operational bottlenecks.

04

Students & Graduates

Gain in-demand data analytics skills sought after by top Philippine employers.

THE AI SCHOOL PH

VERIFIED CREDENTIAL #PH-265063

OFFICIAL CERTIFICATE

This certifies that

[ Your Full Name ]

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

Certified Data Analytics Specialist

Python PandasSQL QueriesExploratory Data AnalysisAI Analytics
Verifiable on LinkedIn
The AI School Philippines
CAREER CREDENTIAL

Stand Out to Employers with Verified Proof

Credential validating practical data cleaning, SQL extraction, and Python visualization skills.

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

Data Analysis Q&A

Specific answers regarding prerequisites, schedule, and certification for this course.

No. We cover Python data fundamentals from scratch, assuming no prior coding background.
COHORT
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