Data Analysis & Statistics: Practical Course For Beginners

Learn how to uncover the power of data analysis and statistics in this complete and easy to follow step-by-step course

What you'll learn

How to analyze data and how to use statistics in practice

How to predict or explain different behaviors and events

How to prepare data for the analysis

How to collect data

How to create a survey

How to visualize data

How to find ideas for data research

How to tell the story through data

How to draw conclusions and have profits from the results of your data analysis

Requirements

Everyone can take this course, no experience is needed. We will go step-by-step from the very beginning

Just some time and willingness to learn

Description

Find out why data planning is like a bank robbery and why you should explore data like Indiana Jones. Get to know the poisonous triangle of data collection and see how data can be spoiled during preparation with one bad ingredient. Learn why data analysis itself is the cherry on top and understand why data analysis is all about the money and what to do about it.If you ever wanted to learn data analysis and statistics, but thought it was too complicated or time consuming, you’re in the right place. Start using powerful scientific methods in a simple way. This is the data analysis and statistics course you’ve been waiting for. Practical, easy to understand, straight to the point.This course will give you the complete package to be very effective in analyzing data and using statistics. Throughout the course we will use the mobile shopping case study, which makes learning fun along the way.Main features of this course:Provides you the complete package to be comfortable using statistics and analyzing dataCovers all stages of data analysis processVery easy to understandNo complicated equationsPlain English instead of multiple statistical termsPractical, with mobile shopping case studyExercises and quizzes to help you master data analysis and statisticsReal world dataset and other materials to downloadMore than 70 high quality videosWhy should you take this course?Data analysis is becoming more and more popular and important every year. You don’t have to become data science guru or master of data mining overnight, but you should know how to analyze and use data in practice. You should be able to effectively work with real world, business data on your own. And this course is all about giving you just that in the quickest and easiest way possible. You won’t waste time for theoretical concepts relevant to geeks and teachers only. We will dive directly into the key knowledge and methods.You will follow the intuitive step-by-step process, with examples, quizzes and exercises. The same process that is utilized by the most successful companies. At the end of the course you will feel comfortable with data analysis tasks and use of the most important statistics. This course is a first step you need to take into the world of professional data analysis and you don’t need any experience to take it. Go beyond Excel analysis and surprise your boss with valuable insight. Or learn for the benefit of your own company. Whatever is your motivation to start with data analysis and statistics, you’re in the right place.This complete course is divided into six essential chapters that corresponds with the six parts of data analysis process - data planning, data exploration, data collection, data preparation, data analysis and data monetization. All of this explained in a pleasant and accessible way, just like your colleague would explain this to you. And obviously you have 30 days money back guarantee, if you don’t like this course for any reason. But I do everything in my power for you not only to like the course, but to love it.A lot of people will tell you that you have to learn programming languages to analyze data effectively, but it’s not true and you will see it in this course. Programming background is nice, but you don’t have to know any programming language to uncover the power of data. Understanding data analysis and statistics is not far away. It is the key competence on the job market, but also in everyday life. Remember that no great decision has ever been made without it. Sign up for this course today and immediately improve the skills essential for your success.

Overview

Section 1: Introduction - the adventure begins

Lecture 1 Introduction

Section 2: Data planning - it's like a bank robbery.

Lecture 2 Data planning overview. Why it is important/ What you will learn?

Lecture 3 Where to start?

Lecture 4 Assignment #1: Plan your project

Lecture 5 What was first, the chicken or the egg?

Lecture 6 Two types of data

Lecture 7 Choose data analysis method

Lecture 8 How to find data?

Lecture 9 Option 1: Find data already collected by someone else

Lecture 10 Option 2: Order collection of data to the research company

Lecture 11 Option 3: Collect data by yourself

Section 3: Data exploration - Indiana Jones and the uncharted territories of data

Lecture 12 Data exploration overview. Why is it important/ What you will learn?

Lecture 13 Explore data through observation

Lecture 14 Explore data through interviews

Lecture 15 Explore data through reading

Lecture 16 Explore data through scientific articles

Lecture 17 Explore data through other sources

Lecture 18 Assignment #2: Become data explorer

Lecture 19 Remove duplicate information and name your variables

Lecture 20 Assignment #3: Bring the order

Lecture 21 Create a model for data analysis

Lecture 22 Assignment #4: Create your model

Section 4: Data collection - the poisonous triangle

Lecture 23 Data collection overview. Why is it important/ What you will learn?

Lecture 24 How to choose respondents?

Lecture 25 Choose the size of your sample

Lecture 26 Assignment #5: Define the sample size

Lecture 27 Create a survey - general guidelines

Lecture 28 Create a survey - choose type of questions

Lecture 29 Create a survey - choose type of variable measurement

Lecture 30 Create a survey - choose measurement scales

Lecture 31 Create a survey - write the actual survey

Lecture 32 Assignment #6: Create a survey

Lecture 33 Test your survey

Lecture 34 Assignment #7: Conduct test study

Lecture 35 Data collection methods

Lecture 36 Data collection – on-line method with Google Forms in detail

Lecture 37 Assignment #8: Take your Survey to Digital

Lecture 38 Promote your survey

Lecture 39 Assignment #9: Promotion time

Section 5: Data preparation - don't spoil the dish

Lecture 40 Data preparation overview. Why is it important/ What you will learn?

Lecture 41 Examine your dataset

Lecture 42 Remove unwanted data

Lecture 43 Identify and mark missing data

Lecture 44 Data formatting - five things to look out for

Lecture 45 Get rid of white spaces

Lecture 46 Correct typos

Lecture 47 Ensure consistent capitalization

Lecture 48 Change incompatible data units

Lecture 49 Assign the right data types

Lecture 50 Data transformation. Convert your data to meet the requirements

Lecture 51 Assignment #10: Clean and Transform

Section 6: Data analysis - cherry on top

Lecture 52 Data analysis overview. Why is it important/ What you will learn?

Lecture 53 What are descriptive statistics and how they work for data analysis?

Lecture 54 Data distribution. Is your data normal?

Lecture 55 Practical use of descriptive statistics

Lecture 56 Assignment #11: Calculate descriptive statistics

Lecture 57 What are inferential statistics and how they work for data analysis?

Lecture 58 Choose statistical software according to your data analysis method

Lecture 59 Download statistical software

Lecture 60 Assignment #12: Download SmartPLS 3 software

Lecture 61 Touring the interface

Lecture 62 Create a project and import data

Lecture 63 Assignment #13: Create your project and import data

Lecture 64 Create data groups

Lecture 65 Assignment #14: Create data groups for your project

Lecture 66 Create a model in the statistical software

Lecture 67 Assignment #15: Create a model for your project

Lecture 68 Time to analyze. Methods and procedures. What options do you have?

Lecture 69 Reliability of your results. Let’s talk about consistency

Lecture 70 Assignment #16: Check the reliability for your data analysis

Lecture 71 Validity of your results. Let’s talk about the truth

Lecture 72 Assignment #17: Check the validity for your data analysis

Lecture 73 Model Fit. How good is your model?

Lecture 74 Main results - the heart of your analysis

Lecture 75 Results for different groups. On the trail of diversity

Lecture 76 Mediation results. Looking for a middleman

Lecture 77 Export your data

Lecture 78 Results interpretation - main results for the general group

Lecture 79 Assignment #18: What your results mean - part 1

Lecture 80 Results interpretation - group analysis and mediation

Lecture 81 Assignment #19: What your results mean - part 2

Lecture 82 Optimize your future data analysis

Section 7: Data monetization - it’s all about the money

Lecture 83 Data monetization and usage overview. Why is it important/ What you will learn?

Lecture 84 Data visualization. How to deliver your story?

Lecture 85 Different chart types

Lecture 86 Data visualization in practise - create the wow effect

Lecture 87 Assignment #20: Visualize your results

Lecture 88 How to use your results for the product development?

Lecture 89 How to use your results for sales?

Lecture 90 How to use your results for marketing?

Section 8: Conclusion and next steps - there is no finish line

Lecture 91 Conclusion

Section 9: Bonus - there’s always more

Lecture 92 How the bonus section will be developed?

Lecture 93 Formative measurement analysis

Lecture 94 Effect size f square - are my results meaningful?

It’s for you, if you want to make informed decisions based on data,It’s for you, if you want to be more efficient in your work,It’s for you, if you want to update or develop your skills and analyze data the right way,It’s for you, if you are interested in data analysis or statistics,It’s for you, if the content of other courses turned out to be difficult to understand