Course Overview: 

Welcome to the Data Analyst Fundamentals course! In this comprehensive program, you will learn the essential skills and knowledge required to excel in the field of data analysis. Whether you are a beginner or have some prior experience, this course is designed to equip you with the tools and techniques necessary to collect, clean, analyze, and visualize data effectively.

Course Duration: 12 weeks (3 months)

Course Objectives:

By the end of this course, you will be able to:

1. Understand the fundamentals of data analysis and its significance in decision-making.

2. Collect and import data from various sources.

3. Clean and preprocess data to prepare it for analysis.

4. Perform exploratory data analysis (EDA) to gain insights into data.

5. Apply statistical techniques to analyze data and draw meaningful conclusions.

6. Create data visualizations to communicate your findings effectively.

7. Use programming languages and tools such as Python, SQL, and Excel for data analysis.

8. Work with real-world datasets and solve practical data analysis problems.

9. Make data-driven recommendations and decisions.

Course Outline:

Module 1: Introduction to Data Analysis

Lesson 1: What is Data Analysis?

Lesson 2: Data Analysis Process

Lesson 3: Importance of Data Analysis

Module 2: Data Collection and Import

Lesson 1: Data Sources and Types

Lesson 2: Data Collection Methods

Lesson 3: Data Import in Python and SQL

Module 3: Data Cleaning and Preprocessing

Lesson 1: Data Cleaning Techniques

Lesson 2: Handling Missing Data

Lesson 3: Data Transformation and Standardization

Module 4: Exploratory Data Analysis (EDA)

Lesson 1: Descriptive Statistics

Lesson 2: Data Visualization

Lesson 3: EDA with Python Libraries (Matplotlib, Seaborn, Pandas)

Module 5: Data Analysis with SQL

Lesson 1: Introduction to SQL

Lesson 2: SQL Queries for Data Analysis

Lesson 3: Joining Tables and Aggregating Data

Module 6: Data Analysis with Python

Lesson 1: Introduction to Python for Data Analysis

Lesson 2: Data Manipulation with Pandas

Lesson 3: Advanced Data Analysis with Python

Module 7: Data Visualization

Lesson 1: Principles of Data Visualization

Lesson 2: Creating Visualizations with Pycharm

Lesson 3: Interactive Visualizations with Tableau and PowerBI

Module 8: Big data and cloud

Lesson 1: Bid data concepts

Lesson 2: Data Mining

Lesson 3: Predictive Analysis

Assessment and Projects:

Weekly quizzes and assignments to reinforce learning.

Projects to use your knowledge