Data Analysis A-Z: Become Data Analyst in 30 Days

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Md Shahriar

4:19:49

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1. Setting Up Your Data Analysis Platform

1.1 Mac.pdf

1.2 Windows.pdf

1. Install Python and Jupyter Notebook.html

2.1 Instructions of setting up ChatGPT.pdf

2. Setting Up ChatGPT for SMART Analysis.html

2. What is Data Analysis

1. Day 1 Data analysis and its characteristics.mp4

03:38

2. Day 2 Complete data analysis work-flow.mp4

02:54

3.1 Practice datasets.zip

3. Practice datasets and instruction for QUIZES.html

3. Stage 1 Data Cleaning A - Z

1. Day 3 Loading dataset in your jupyter notebook.mp4

07:06

2. Day 4 Dealing with missing values.mp4

12:43

3. Day 5 Dealing with inconsistent values.mp4

11:17

4. Day 6 Dealing with miss-identified data types.mp4

07:43

5. Day 7 Dealing with duplicated data.mp4

04:22

6. QUIZ 1 Data Cleaning A-Z.html

7.1 stage 1- data cleaning a-z (solution).zip

7. Solution 1 Data Cleaning A-Z.html

4. Stage 2 Data Manipulation A-Z

1. Day 8 Learn data sorting and arrangement.mp4

05:17

2. Day 9 Learn conditional data filtering.mp4

10:34

3. Day 10 Learn to merge extra variables.mp4

03:47

4. Day 11 Learn to concatenate extra data.mp4

03:47

5. QUIZ 2 Data Manipulation A-Z.html

6.1 stage 2- data manipulation a-z (solution).zip

6. Solution 2 Data Manipulation A-Z.html

5. Stage 3 Exploratory Data Analysis A-Z

1. Day 12 Exploring value counts analysis method.mp4

22:17

2. Day 13 Exploring descriptive statistics analysis method.mp4

16:18

3. Day 14 Exploring group by analysis method.mp4

15:58

4. Day 15 Exploring pivot table analysis method.mp4

21:59

5. Day 16 Exploring crosstabulation analysis method.mp4

09:41

6. Day 17 Exploring correlation analysis method.mp4

05:33

7. QUIZ 3 Exploratory Data Analysis A-Z.html

8.1 stage 3- exploratory data analysis a-z (solution).zip

8. Solution 3 Exploratory Data Analysis A-Z.html

6. Stage 4 Understanding Statistical Data Analysis A-Z

1. Day 18 Various aspects of hypothesis testing.mp4

08:08

2. Day 19 Understand confidence level, significance level and p-value.mp4

05:05

3. Day 20 Understand complete steps in hypothesis testing.mp4

07:40

4. QUIZ 4 Understanding Statistical Data Analysis A-Z.html

7. Stage 5 Data Transformation A-Z

1. Day 21 Testing normal distribution of numeric variables.mp4

08:29

2. Day 22 Square root transformation for normal distribution.mp4

06:15

3. Day 23 Logarithmic transformation for normal distribution.mp4

05:57

4. Day 24 Box-cox transformation for normal distribution.mp4

05:45

5. Day 25 Yeo-Johnson transformation for normal distribution.mp4

05:14

6. QUIZ 5 Data Transformation A-Z.html

7.1 stage 5- data transformation a-z (solution).zip

7. Solution 5 Data Transformation A-Z.html

8. Stage 6 Hypothesis Testing A-Z

1. Day 26 One way between groups ANOVA.mp4

10:32

2. Day 27 Pearson product-moment correlation coefficient.mp4

10:05

3. Day 28 Multiple linear regression analysis with statsmodel.api.mp4

14:28

4. Final QUIZ Hypothesis Testing A-Z.html

5.1 stage 6- hypothesis testing a-z (solution).zip

5. Final Solution Hypothesis Testing A-Z.html

9. Tips, Tricks and Resources!

1. ChatGPT for smooth python coding in Data Analysis.mp4

07:17

2.1 Complete Data Analysis Work-flow.pptx

2.2 Confidence, significance and p value.pdf

2.3 Data Analysis.pptx

2.4 Steps in Hypothesis Testing.pdf

2.5 Various aspects of Hypothesis.pdf

2. Course Resources.html

Description

Unlock Data Analysis with Hands-on Python Proficiency. Master Full Work-flow and Become Pro Data Analyst in 30 Days.

What You'll Learn?

Understand and apply the complete data analysis workflow, from data cleaning to hypothesis testing, mirroring real-life scenarios.
Develop the personal capabilities of critical thinking and problem-solving essential for effective data analysis, decision-making, and recommendation.
Implement various data analysis techniques: value counts, percentage, group by, pivot tables, correlation, and regression, practically and professionally.
Solve more than 12 real-world data analytical questions to gain hands-on experience in applying data analysis skills to diverse situations.
Learn to derive significant insights from data and use them to make informed decisions and recommendations by emphasizing the practical application.
Gain proficiency in using Python for data analysis, covering key libraries and tools commonly employed in the industry.
Learn the principles of statistical inference, understand how to draw meaningful conclusions, and make data-driven decisions based on statistical evidence.
Cultivate the ability to think critically about data, and extract meaningful insights, and deliver actionable recommendations for informed decision-making.

Who is this for?

Individuals looking to kickstart their career in data analysis.

Students and recent grads in data analysis or related fields.

Professionals aiming to boost their analytical skills.

Decision-makers want to understand and leverage data analysis.

What You Need to Know?

No coding Experience is Needed.

Mindset to be Successful.

Dedication to be Data Analyst.

Intention to Learn Python.

More details

Description
Embark on a transformative journey with our course, "Data Analysis A-Z: Become Data Analyst in 30 Days," where you will unravel the intricacies of data analysis from start to finish. Throughout this immersive experience, participants will gain a comprehensive understanding of the complete data analysis workflow, mirroring real-life scenarios encountered by professional data analysts.

This course goes beyond technical proficiency, emphasizing the development of personal capabilities crucial for effective data analysis. From critical thinking to problem-solving, participants will acquire the skills essential for making informed decisions and recommendations based on robust data insights.

The practical application of various data analysis techniques is a cornerstone of this program. Participants will dive into hands-on exercises covering value counts, percentage calculations, group by operations, pivot tables, correlation, and regression analysis, ensuring a professional mastery of these essential tools.

Real-world application takes center stage as participants tackle over 12 data analytical questions, providing practical experience in applying data analysis skills to diverse situations. This emphasis on practicality extends to the extraction of significant insights from data, fostering the ability to make informed decisions and recommendations grounded in real-world application.

Moreover, this course equips participants with Python proficiency tailored for data analysis. Covering key libraries and tools widely used in the industry, participants will leverage Python to manipulate and analyze data effectively. The principles of statistical inference are also covered, ensuring participants can draw meaningful conclusions and make data-driven decisions based on sound statistical evidence. Throughout the course, critical thinking remains a focal point, cultivating the ability to think deeply about data, extract meaningful insights, and deliver actionable recommendations for informed decision-making. Join us on this intensive 30-day journey and emerge as a proficient and professional data analyst.
Who this course is for:
Individuals looking to kickstart their career in data analysis.
Students and recent grads in data analysis or related fields.
Professionals aiming to boost their analytical skills.
Decision-makers want to understand and leverage data analysis.

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Introducing Shahriar: Accomplished Data Analyst and Passionate InstructorWelcome to the dynamic world of data analytics, where every byte of information holds the key to unlocking insights and shaping informed decisions. Meet Shahriar, a seasoned freelancer and a dedicated data enthusiast, who is now poised to share his wealth of knowledge and expertise as an esteemed Instructor at Udemy.With a rich tapestry of experiences spanning over three prolific years in the field, Shahriar has made an indelible mark as a Data Analyst extraordinaire. Over the course of his illustrious career, he has successfully spearheaded and completed an impressive portfolio of more than 300 projects, transcending geographical boundaries and leaving a trail of satisfied clients worldwide.Proficient in an array of cutting-edge tools and languages including Python, R, Excel, and SPSS, Shahriar's prowess extends across a spectrum of domains within the data realm. His unparalleled skills encompass data analysis, machine learning, data manipulation, data visualization, and applied statistics, to name just a few. His holistic approach to problem-solving ensures that every project is meticulously analyzed, curated, and executed to perfection, delivering results that are not just insightful but also actionable.However, what truly sets Shahriar apart is his unwavering passion for data. To him, data is more than just numbers and figures; it's a story waiting to be told. As an avid storyteller, he seamlessly weaves narratives from complex datasets, transforming raw information into compelling insights that resonate with both experts and novices. Shahriar's ability to make data relatable and engaging underscores his dedication to demystifying the world of data analytics.As he steps into his new role as an Instructor at Udemy, Shahriar is committed to sharing his wealth of knowledge with a global audience. His teaching philosophy is rooted in clarity, accessibility, and practicality. Whether you're a budding data enthusiast taking your first steps or a seasoned professional seeking to refine your skills, Shahriar's meticulously crafted courses are designed to empower and elevate your data prowess.In conclusion, Shahriar's journey from a passionate data hobbyist to a prolific freelancer and now an esteemed Udemy Instructor is a testament to his unwavering dedication, insatiable curiosity, and relentless pursuit of excellence in the realm of data analytics. Embark on this transformative learning journey with Shahriar and unravel the mysteries of data in a way that only a true storyteller can unveil. The world of data analytics awaits, and Shahriar is your guiding light.

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