Data Analyst Training

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 Objectives:

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

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

• Collect and import data from various sources.

• Clean and preprocess the data to prepare it for analysis.

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

• Apply statistical techniques to analyze the data and draw meaningful conclusions.

• Create data visualizations to communicate your findings effectively.

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

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

• 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, and 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

• Lesson 3: Introduction to cloud