Data Analysis & Statistics practical course for beginners
0.0
(0)
2 Enrolled
About Course
“This content is restricted to subscribers”
Course Content
01 Introduction – the adventure begins
-
02:34
02 Data planning – its like a bank robbery
-
01:09
-
003 Where to start
04:57 -
004 What was first the chicken or the egg
01:16 -
005 Two types of data
02:20 -
006 Choose data analysis method
04:34 -
007 How to find data
01:30 -
008 Option 1 Find data already collected by someone else
04:01 -
009 Option 2 Order collection of data to the research company
07:13 -
010 Option 3 Collect data by yourself
01:11
03 Data exploration – Indiana Jones and the uncharted territories of data
-
011 Data exploration overview. Why is it important What you will learn
01:22 -
012 Explore data through observation
01:54 -
013 Explore data through interviews
02:57 -
014 Explore data through reading
03:12 -
015 Explore data through scientific articles
06:01 -
016 Explore data through other sources
02:13 -
017 Assignment 2 Become data explorer
-
018 Remove duplicate information and name your variables
04:25 -
019 Assignment 3 Bring the order
-
020 Create a model for data analysis
01:53 -
021 Assignment 4 Create your model
04 Data collection – the poisonous triangle
-
022 Data collection overview. Why is it important What you will learn
02:28 -
023 How to choose respondents
06:04 -
024 Choose the size of your sample
04:39 -
025 Assignment 5 Define the sample size
-
026 Create a survey – general guidelines
05:49 -
027 Create a survey – choose type of questions
02:21 -
028 Create a survey – choose type of variable measurement
03:45 -
029 Create a survey – choose measurement scales
06:31 -
030 Create a survey – write the actual survey
14:40 -
031 Assignment 6 Create a survey
-
032 Test your survey
02:30 -
033 Assignment 7 Conduct test study
-
034 Data collection methods
03:53 -
035 Data collection on-line method with Google Forms in detail
19:24 -
036 Assignment 8 Take your Survey to Digital
-
037 Promote your survey
02:46 -
038 Assignment 9 Promotion time
05 Data preparation – dont spoil the dish
-
039 Data preparation overview. Why is it important What you will learn
03:32 -
040 Examine your dataset
03:33 -
041 Remove unwanted data
06:49 -
042 Identify and mark missing data
07:09 -
043 Data formatting – five things to look out for
03:21 -
044 Get rid of white spaces
03:39 -
045 Correct typos
06:24 -
046 Ensure consistent capitalization
04:03 -
047 Change incompatible data units
06:28 -
048 Assign the right data types
05:35 -
049 Data transformation. Convert your data to meet the requirements
21:47 -
050 Assignment 10 Clean and Transform
06 Data Analysis cherry on top
-
051 Data analysis overview. Why is it important What you will learn
02:35 -
052 What are descriptive statistics and how they work for data analysis
09:35 -
053 Data distribution. Is your data normal
10:33 -
054 Practical use of descriptive statistics
22:27 -
055 Assignment 11 Calculate descriptive statistics
-
056 What are inferential statistics and how they work for data analysis
10:35 -
057 Choose statistical software according to your data analysis method
04:04 -
058 Download statistical software
05:56 -
060 Touring the interface
11:27 -
061 Create a project and import data
03:30 -
062 Assignment 13 Create your project and import data
-
063 Create data groups
05:18 -
064 Assignment 14 Create data groups for your project
-
065 Create a model in tache statistical software
06:30 -
066 Assignment 15 Create a model for your project
-
067 Time to analyze. Methods and procedures. What options do you have
05:56 -
068 Reliability of your results. Lets talk about consistency
07:10 -
069 Assignment 16 Check the reliability for your data analysis
-
070 Validity of your results. Lets talk about the truth
06:35 -
071 Assignment 17 Check the validity for your data analysis
-
072 Model Fit. How good is your model
02:08 -
073 Main results – the heart of your analysis
09:38 -
074 Results for different groups. On the trail of diversity
10:32 -
075 Mediation results. Looking for a middleman
09:26 -
076 Export your data
03:05 -
077 Results interpretation – main results for the general group
22:11 -
078 Assignment 18 What your results mean – part 1
-
079 Results interpretation – group analysis and mediation
06:29 -
080 Assignment 19 What your results mean – part 2
-
081 Optimize your future data analysis
05:30
07 Data monetization – its all about the money
-
082 Data monetization and usage overview. Why is it important What you will learn
02:02 -
083 Connotations-of-colors
07:31
08 Conclusion and next steps – there is no finish line
-
090 Conclusion
03:09
09 Bonus – theres always more
-
091 How the bonus section will be developed
00:36 -
092 Formative measurement analysis
06:15 -
093 Effect size f square – are my results meaningful
03:01
Instructors
LW
Luna Waters
4.0
3737 Students
802 Courses
No Review Yet
Hi, Welcome back!



