Easy Python for A-Z Data Analysis Bootcamp for Beginners

Easy Python for A-Z Data Analysis Bootcamp for Beginners, available at $19.99, has an average rating of 4.6, with 62 lectures, 43 quizzes, based on 40 reviews, and has 1111 subscribers.

You will learn about Learn Python's syntax, data types, variables, and operators to construct simple programs and execute basic functions. Learn to regulate program flow, use loops and conditional statements like if, elif, and else. Acquire skills to use Python lists, dictionaries, tuples, and sets. Learn NumPy and Pandas the key Python packages for data manipulation and computing. Learn how to quickly fix NameError, TypeError, IndentationError, and other issues. Harness the power of ChatGPT for real-time code suggestions, completion, and improvement. Learn and apply the data analysis methodology, from data cleaning to hypothesis testing, in real-world applications. Increase your critical thinking and problem-solving skills for data analysis, decision-making, and recommendation. Use value counts, percentage, group by, pivot tables, correlation, and regression professionally and realistically. Solve over 60+ real-world data analytical questions to practice applying data analysis to various circumstances. Emphasize practical application to gain valuable insights from data and create educated judgments and suggestions. Learn Python for data analysis using industry-standard libraries and tools. Master statistical inference, draw meaningful findings, and make data-driven decisions. Develop critical thinking, data analysis, and practical recommendations for informed decision-making. This course is ideal for individuals who are Beginner Data Enthusiasts and Aspiring Analysts It is particularly useful for Beginner Data Enthusiasts and Aspiring Analysts.

Enroll now: Easy Python for A-Z Data Analysis Bootcamp for Beginners

Summary

Title: Easy Python for A-Z Data Analysis Bootcamp for Beginners

Price: $19.99

Average Rating: 4.6

Number of Lectures: 62

Number of Quizzes: 43

Number of Published Lectures: 62

Number of Published Quizzes: 43

Number of Curriculum Items: 106

Number of Published Curriculum Objects: 106

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

Learn Python's syntax, data types, variables, and operators to construct simple programs and execute basic functions.
Learn to regulate program flow, use loops and conditional statements like if, elif, and else.
Acquire skills to use Python lists, dictionaries, tuples, and sets.
Learn NumPy and Pandas the key Python packages for data manipulation and computing.
Learn how to quickly fix NameError, TypeError, IndentationError, and other issues.
Harness the power of ChatGPT for real-time code suggestions, completion, and improvement.
Learn and apply the data analysis methodology, from data cleaning to hypothesis testing, in real-world applications.
Increase your critical thinking and problem-solving skills for data analysis, decision-making, and recommendation.
Use value counts, percentage, group by, pivot tables, correlation, and regression professionally and realistically.
Solve over 60+ real-world data analytical questions to practice applying data analysis to various circumstances.
Emphasize practical application to gain valuable insights from data and create educated judgments and suggestions.
Learn Python for data analysis using industry-standard libraries and tools.
Master statistical inference, draw meaningful findings, and make data-driven decisions.
Develop critical thinking, data analysis, and practical recommendations for informed decision-making.

Who Should Attend

Beginner Data Enthusiasts and Aspiring Analysts

Target Audiences

Beginner Data Enthusiasts and Aspiring Analysts

Unlock the power of Python and dive into the dynamic realm of data analysis with our comprehensive bootcamp tailored for beginners. In the “Python Data Analysis Bootcamp for Beginners: All in One,” we guide you through every essential aspect of Python programming and data analysis, equipping you with the skills needed to thrive in today’s data-driven world.

Key Course Highlights:

Master Python Essentials:
- Lay a solid foundation with a hands-on approach to mastering Python basics.
- Learn the syntax, data types, and control structures to build a strong programming foundation.
Data Cleaning and Manipulation:
- Explore techniques for cleaning and organizing raw data.
- Gain proficiency in data manipulation using Python libraries, ensuring your data is ready for analysis.
Data Analysis and Transformation:
- Dive into the core of data analysis, learning how to extract meaningful insights.
- Acquire skills to transform and reshape data to derive actionable conclusions.
Statistical Analysis:
- Understand fundamental statistical concepts and their application in data analysis.
- Learn how to interpret and draw conclusions from statistical data.
Hypothesis Testing:
- Master the art of hypothesis testing to make informed decisions based on statistical evidence.
- Apply hypothesis testing techniques to validate assumptions and draw accurate conclusions.
Real-world Projects and Scenarios:
- Immerse yourself in hands-on projects simulating real-world data challenges.
- Apply your knowledge to practical situations, solidifying your skills through experiential learning.

Why Choose Our Bootcamp?

Beginner-Friendly: No prior coding experience? No problem! Our course is designed for beginners, starting from the basics and guiding you step-by-step to becoming a proficient data analyst.
Comprehensive Curriculum: Covering Python essentials to advanced statistical analysis, our all-in-one curriculum ensures you gain a well-rounded understanding of data analysis.
Smart Application of ChatGPT: Experience a unique blend of traditional teaching methods and AI assistance. ChatGPT is intelligently applied to explain complex Python coding in simple layman’s terms, enhancing your learning experience.
Hands-On Guidance: Learn not just the ‘how’ but also the ‘why’ behind each concept with hands-on guidance, empowering you to tackle real-world data challenges confidently.

Embark on a transformative journey where you’ll not only master Python but also emerge as a skilled data analyst. Enroll now in the Python Data Analysis Bootcamp for Beginners: All in One and open doors to a world of possibilities in the field of data analysis. Your data story begins here!

Course Curriculum

Chapter 1: Setting Up Your Data Analysis Environment

Lecture 1: Installing Python and Jupyter Notebook

Lecture 2: Setting Up The AI Environment: ChatGPT

Lecture 3: Connect with my youtube channel

Lecture 4: Get special handbooks

Lecture 5: Why Python?

Lecture 6: Installing necessary python libraries

Chapter 2: Python Programming Fundamentals – Level 1

Lecture 1: Your First Python Code: Getting Started

Lecture 2: Variables and naming conventions

Lecture 3: Data types: integers, float, strings, boolean

Lecture 4: Type conversion and casting

Lecture 5: Arithmetic operators (+, -, *, /, %, **)

Lecture 6: Comparison operators (>, =, <=, ==, !=)

Lecture 7: Logical operators (and, or, not)

Chapter 3: Python Programming Fundamentals – Level 2

Lecture 1: Lists: creation, indexing, slicing, modifying

Lecture 2: Sets: unique elements, operations

Lecture 3: Dictionaries: key-value pairs, methods

Lecture 4: Conditional statements (if, elif, else)

Lecture 5: Logical expressions in conditions

Lecture 6: Looping structures (for loops, while loops)

Lecture 7: Defining, Creating and Calling functions

Chapter 4: What is Data Analysis?

Lecture 1: Understanding data analysis

Lecture 2: Step-by-step data analysis procedure

Lecture 3: Practice dataset and quizz instructions

Chapter 5: Clean Dataset for Integrity and Validity

Lecture 1: Importing dataset into Jupyter Notebook

Lecture 2: Imputing missing values with SimpleImputer

Lecture 3: Finding and dealing with inconsistent data

Lecture 4: Identify and assign correct dataset

Lecture 5: Dealing with duplicate values

Chapter 6: Manipulate Data to Increase the Functionality

Lecture 1: Sorting and arranging dataset

Lecture 2: Conditional Filtering of dataset

Lecture 3: Merging extra data with the dataset

Lecture 4: Concatenating variables within dataset

Chapter 7: Explore dataset and generate significant insights

Lecture 1: What is exploratory data analysis?

Lecture 2: Frequency and percentage analysis

Lecture 3: Descriptive analysis for numeric data

Lecture 4: Grouping analysis – numeric measure by nominal data

Lecture 5: Pivot table – a tabulation of insights

Lecture 6: Crosstabulation – categorical v/s categorical data

Lecture 7: Correlation – numeric v/s numeric data

Chapter 8: What is Statistical Data Analysis?

Lecture 1: Various aspects of hypothesis testing

Lecture 2: Confidence level, significance level, p-value

Lecture 3: Steps in hypothesis testing

Chapter 9: Transforming Data into Normal Distribution

Lecture 1: Test normality of numeric data

Lecture 2: Square root transformation method

Lecture 3: Logarithm transformation method

Lecture 4: Boxcox transformation method

Lecture 5: Yeo-johnson transformation method

Chapter 10: Statistical Analysis and Hypothesis Testing

Lecture 1: Independent sample T-test

Lecture 2: One way analysis of variance (ANOVA)

Instructors

Analytix AI
Unleashing the Power of Data with AI for Informed Insights.

Rating Distribution

1 stars: 0 votes
2 stars: 0 votes
3 stars: 1 votes
4 stars: 6 votes
5 stars: 33 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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