Masterclass Data Analyst

Duration:	15 Days (3 Modules, Each 5 Days)
Format:	Blended Learning (Classroom + Self-Study)
Certification:	Certificates for Each Module
Price without VAT	€ 4100,00

Overview

The Masterclass Data Analyst is an intensive program designed for aspiring data analysts. The course provides hands-on training in SQL, Python programming, and data analysis techniques, combining classroom instruction with self-paced exercises. Each module consists of two days of instructor-led training followed by three days of self-study practice using real-world datasets and problem-solving tasks. Upon successful completion of each module, participants will receive an certificate of participation to enhance their employability.

Module 1: SQL Fundamentals (5 Days)

Objective:
Develop foundational SQL skills for querying and managing relational databases.

Curriculum:

Classroom Training (Day 1-2)

Introduction to Databases and SQL
Writing Basic Queries (SELECT, FROM, WHERE)
Filtering, Sorting, and Aggregating Data (GROUP BY, ORDER BY)
Joins and Relationships (INNER JOIN, LEFT JOIN, RIGHT JOIN)
Subqueries and Common Table Expressions (CTEs)

Self-Study & Practice (Day 3-5)

Hands-on exercises with real-world datasets
Advanced SQL Functions (CASE, COALESCE, STRING functions)
Window Functions and Data Manipulation (UPDATE, DELETE, INSERT)
SQL Performance Optimization and Indexing
Final Assessment & Certification

Certification: SQL Fundamentals Certificate

Module 2: Python Programming (5 Days)

Objective:
Learn the fundamentals of Python for data handling and automation.

Curriculum:

Classroom Training (Day 6-7)

Introduction to Python & IDE Setup
Data Types, Variables, and Control Structures
Functions and Modules in Python
File Handling and Data Manipulation
Error Handling and Debugging

Self-Study & Practice (Day 8-10)

Practice coding exercises on Loops, Lists, Dictionaries, and Functions
Introduction to Object-Oriented Programming (OOP)
Working with APIs and JSON data
Basic Data Visualization with Matplotlib
Final Assessment & Certification

Certification: Python Programming Certificate

Module 3: Data Analysis with Python (5 Days)

Objective:
Apply Python skills to data analysis using industry-standard libraries.

Curriculum:

Classroom Training (Day 11-12)

Introduction to Data Analysis
Using Pandas for Data Wrangling (read_csv, DataFrame, groupby)
Data Cleaning and Handling Missing Values
Exploratory Data Analysis (EDA) with Pandas and Matplotlib
Introduction to NumPy for Numerical Computations

Self-Study & Practice (Day 13-15)

Hands-on Data Analysis with Real-World Datasets
Data Visualization Techniques (Seaborn, Plotly)
Statistical Analysis and Correlation
Introduction to Machine Learning Basics (optional)
Final Assessment & Certification

Certification: Data Analysis with Python Certificate

Key Features of the Masterclass

✔ Blended Learning: Classroom training + self-paced exercises
✔ Practical Hands-on Approach: Real datasets and business use cases
✔ Certifications: Boosts employability
✔ Expert Instructors: Led by experienced data professionals
✔ Career Support: Guidance on using certifications in job applications

Prerequisites

This masterclass is designed for both beginners and those with some experience in data analysis. However, to get the most out of the training, participants should meet the following criteria:

✔ Basic computer skills (file management, installing software, using a terminal/command prompt)
✔ Logical and analytical thinking
✔ No prior coding or SQL experience is required

Software Requirements

Participants must install the following software before the training begins:

SQL Module:

DBMS: PostgreSQL / MySQL / SQL Server (instructor will specify the required version)
SQL Client: DBeaver / MySQL Workbench / pgAdmin

Python Modules (Python & Data Analysis):

Python (latest stable version)
Jupyter Notebook (via Anaconda or pip install jupyter)
IDE (recommended): VS Code / PyCharm / Jupyter Notebook
Python Libraries: Pandas, NumPy, Matplotlib, Seaborn (installed via pip install pandas numpy matplotlib seaborn)

A detailed installation guide will be provided before the course begins.