Complete Data Analyst Bootcamp From Basics To Advanced

Overview

Are you ready to embark on a rewarding career as a Data Analyst? Whether you're a beginner or an experienced professional looking to enhance your skills, this Complete Data Analyst Bootcamp is your one-stop solution.

This course is meticulously designed to equip you with all the essential tools and techniques needed to excel in the field of data analysis.

Syllabus

• Introduction to Data Analysis
Understanding the Role of a Data Analyst
Overview of the Data Analysis Process
Key Skills and Tools for Data Analysis
• Data Collection and Preprocessing
Data Sources and Types
Data Cleaning Techniques
Handling Missing Data
Data Transformation and Normalization
• Exploratory Data Analysis (EDA)
Descriptive Statistics
Data Visualization Techniques
Identifying Patterns and Trends
Outlier Detection
• Data Manipulation with Python
Introduction to Python for Data Analysis
Using Pandas for Data Manipulation
Data Cleaning and Preparation with Python
• Introduction to Databases and SQL
Understanding Databases and their Importance
SQL Basics for Data Retrieval
Advanced SQL for Data Manipulation
Integrating SQL with Data Analysis Workflows
• Data Visualization and Reporting
Principles of Effective Data Visualization
Using Matplotlib and Seaborn for Data Visualization
Creating Interactive Visualizations with Tableau
Storytelling with Data and Report Generation
• Statistical Analysis for Data Analysts
Fundamental Statistical Concepts
Hypothesis Testing and Confidence Intervals
Regression Analysis
Probability and Distribution Analysis
• Introduction to Machine Learning for Data Analysts
Overview of Machine Learning Concepts
Supervised vs. Unsupervised Learning
Building Simple Predictive Models
Evaluating Model Performance
• Advanced Topics in Data Analysis
Time Series Analysis
Text Analysis and Natural Language Processing (NLP)
Big Data Technologies Overview
Ethics in Data Analysis
• Tools for Data Analysis
Overview of R for Data Analysis
Introduction to Excel for Data Crunching
Leveraging Cloud Platforms for Data Processing (e.g., AWS, GCP)
• Capstone Project
Defining the Problem Statement
Data Collection and Cleaning
Performing Analysis and Visualization
Presenting Findings and Insights
• Career Development for Data Analysts
Building a Data Analyst Portfolio
Job Search Strategies and Networking
Preparing for Data Analyst Interviews
Continuous Learning and Skill Development

Taught by

Krish Naik, Jayant Topnani and KRISHAI Technologies Private Limited

Subjects

Data Science