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Data Analyst Bootcamp for Beginners

Learn with Beginner's Clarity

18 modules

English

Lifetime access

"Dive into the world of data analysis and kickstart your career with our comprehensive bootcamp tailored for beginners!"

Overview

At Beginner’s Clarity, we believe that everyone deserves a clear and accessible pathway to learning. Our mission is to empower beginners by offering a curated selection of trending, in-demand courses that break down complex topics into simple, digestible lessons. We understand that starting a new learning journey can be daunting, which is why we strive to create a supportive and engaging environment.

Our courses are designed with beginners in mind, ensuring that every learner, regardless of their prior knowledge, can find value and clarity in our offerings. Each module comes equipped with comprehensive notes that summarize key concepts, making it easy for learners to revisit important information. To further enhance understanding, we incorporate practical assignments that encourage hands-on application of the skills learned.

Understanding that assessment is a crucial part of the learning process, we provide coding tests and quizzes for every module. These assessments not only reinforce learning but also give learners the confidence to track their progress and identify areas for improvement.

Our dedicated team of expert instructors is committed to guiding students through their educational journeys, offering insights and support every step of the way. We believe in fostering a culture of curiosity and creativity, encouraging learners to explore new ideas and challenge themselves.

Whether you’re looking to enhance your career prospects, switch fields, or simply learn something new, Beginner’s Clarity is your trusted partner in education. We offer a diverse range of courses across various domains, all designed to equip you with the essential skills needed to thrive in today’s competitive landscape.

Join us at Beginner’s Clarity, where your learning journey begins with clarity and ends with confidence. Unlock your potential today and take the first step toward a brighter future!

Key Highlights

Introduction to data analysis principles

Hands-on experience with popular data analysis tools

Exploration of various data visualization techniques

Understanding basic statistical concepts

Practical data cleaning and preprocessing techniques

Building foundational knowledge in data manipulation

Applying data analysis skills to real-world datasets

Preparation for entry-level data analyst roles

What you will learn

Learn Data Analysis Fundamentals

Master the basics of data analysis, including data types, handling missing data, and data visualization techniques.

Use Popular Data Analysis Tools

Get hands-on experience with tools like Excel, Python, and SQL to analyze and interpret data effectively.

Apply Data Analysis Techniques

Learn how to clean, analyze, and interpret data to derive valuable insights and make data-driven decisions.

Modules

🌟 Welcome to Our Course! 🌟

Preview

1. Introduction to Data Analytics

8 attachments • 8 mins

1.1 What is Data Analytics?

Preview

1.2 The Role of a Data Analyst

1.3 Career Paths in Data Analytics

1.4 Industries That Utilize Data Analytics

1.5 Key Concepts and Terminology

1.6 Tools and Technologies

CODING TEST - Data Type Identification

Preview

2. Data Wrangling & Preprocessing

4 attachments • 6 mins

2.1 The Role of a Data Analyst

2.2 Data Cleaning

MCQ

CODING TEST: Basic SQL Query

3: Data Analysis and Exploration

5 attachments • 6 mins

3.1 Descriptive Statistics

3.2 Data Visualization

MCQ

Assignment:

CODING TEST: Handling Missing Data

4. Data Modeling and Prediction

6 attachments • 7 mins

4.1 What is Data Modeling?

4.2 Types of Data Models

4.3 Linear Regression for Prediction

MCQ

Assignment:

CODING TEST: Summary Statistics

5. Exploratory Data Analysis (EDA)

6 attachments • 7 mins

5.1 What is EDA?

5.2 Key Techniques in EDA

5.3 Summary Statistics in EDA

MCQ

Assignment:

CODING TEST: Plotting Data

6. Statistical Analysis and Hypothesis Testing

6 attachments • 7 mins

6.1 What is Hypothesis Testing?

6.2 Steps in Hypothesis Testing

6.3 Types of Hypothesis Tests

MCQ

Assignment:

CODING TEST: Descriptive Statistics Calculation

7. Data Wrangling and Cleaning

7 attachments • 8 mins

7.1 What is Data Wrangling?

7.2 Common Data Cleaning Techniques

7.3 Handling Missing Data

7.4 Dealing with Outliers

MCQ

Assignment:

CODING TEST: Aggregate SQL Query

8. Data Visualization

6 attachments • 5 mins

8.1 What is Data Visualization?

8.2 Types of Data Visualizations

8.3 Best Practices in Data Visualization

mcq

Assignment:

CODING TEST: Basic Data Manipulation with Pandas

9. Advanced Data Visualization

6 attachments • 3 mins

9.1 Introduction to Advanced Data Visualization

9.2 Types of Advanced Visualizations

9.3 Tools for Advanced Data Visualization

MCQ

Assignment:

CODING TEST: Join Two Tables

10. Introduction to Machine Learning

6 attachments • 6 mins

10.1 What is Machine Learning?

10.2 Types of Machine Learning

10.3 Supervised Learning: Regression and Classification

MCQ

Assignment:

CODING TEST: Reshaping Data

11. Unsupervised Learning

5 attachments • 6 mins

11.1 Clustering Algorithms

11.2 Dimensionality Reduction

MCQ

Assignment:

CODING TEST: Subquery in SQL

12. Time Series Analysis

6 attachments • 7 mins

12.1 Introduction to Time Series

12.2 Key Concepts in Time Series

12.3 Time Series Forecasting Methods

MCQ

Assignment:

CODING TEST: Correlation Calculation

13. Data Cleaning and Preprocessing

6 attachments • 7 mins

13.1 Importance of Data Cleaning

13.2 Common Data Cleaning Techniques

13.3 Data Preprocessing Techniques

MCQ

Assignment

CODING TEST: Data Extraction from API

14. Introduction to Machine Learning

7 attachments • 8 mins

14.1 What is Machine Learning?

14.2 Types of Machine Learning

14.3 Common Algorithms in Machine Learning

14.4 Model Evaluation

MCQ

Assignment

CODING TEST: Linear Regression Model

15. Data Visualization and Communication

7 attachments • 6 mins

15.1 Importance of Data Visualization

15.2 Common Data Visualization Tools

15.3 Choosing the Right Visualization

15.4 Communicating Data Insights

MCQ

Assignment

CODING TEST: Visualizing Data with Python

Conclusion of Course

1 attachment

FINAL ASSIGNMENT

Data Analytics Course Completion Celebration Form

FAQs

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Enrolling in a course is simple! Just browse through our website, select the course you're interested in, and click on the "Enrol Now" button. Follow the prompts to complete the enrolment process, and you'll gain immediate access to the course materials.

Can I access the course materials on any device?

Yes, our platform is designed to be accessible on various devices, including computers, laptops, tablets, and smartphones. You can access the course materials anytime, anywhere, as long as you have an internet connection.

How can I access the course materials?

Once you enrol in a course, you will gain access to a dedicated online learning platform. All course materials, including video lessons, lecture notes, and supplementary resources, can be accessed conveniently through the platform at any time.

Can I interact with the instructor during the course?

Absolutely! we are committed to providing an engaging and interactive learning experience. You will have opportunities to interact with them through our community. Take full advantage to enhance your understanding and gain insights directly from the expert.

About the creator

About the creator

Learn with Beginner's Clarity

At Beginner’s Clarity, we make learning clear and accessible for everyone.Our mission is to empower beginners with trending, in-demand courses that simplify complex concepts into easy-to-understand lessons. Each module includes comprehensive notes, engaging assignments, coding tests, and quizzes to reinforce learning and assess understanding. We focus on building a solid foundation in essential skills, ensuring learners gain knowledge and the confidence to apply it in real-world scenarios.

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