1 |
Why data analytics? |
2 |
ıntroductory courses |
3 |
Step-up programming |
4 |
How to create manip****te and change vba array ? |
5 |
Vba operators |
6 |
How to create vba function |
7 |
How to automate excel with help of vba |
8 |
How to access mongodb via guı |
9 |
How to use ranges in excel vba |
10 |
Regex code syntax guide |
11 |
Probability data science : step by step week2-3 |
12 |
Descriptive statistics data science : step by step week1 |
13 |
Data science : step by step plan | learn along |
14 |
Human being a machine learning experience |
15 |
Data preparation dbms |
16 |
Vba codes practise sub commandnametoday |
17 |
Resources |
18 |
Business analytics |
19 |
Challenges in data analytics |
20 |
Probability short course for data analyst |
21 |
How to become data driven organization |
22 |
Category of analytics methods |
23 |
How to become data scientist |
24 |
Why monkidea blog post |
25 |
Free books data analytics |
26 |
10 fun facts about analytics |
27 |
Summary of monkidea.com till this post |
28 |
Data visualization: summary table & mosaic chart |
29 |
Observational and second experimental studies |
30 |
Relative standard deviation.& coefficient of variation |
31 |
Sampling types: statistics |
32 |
Pop****tion and sample : statistics |
33 |
Data transformation : statistics |
34 |
Variability vs diversity : statistical spread |
35 |
Data visualization : box plot |
36 |
Data visualization : histogram |
37 |
Data visualization : bar & pie chart |
38 |
Data visualization : scatter plot |
39 |
Data exploration ıntroduction & bias types |
40 |
Sql queries for practice : oracle 11g |
41 |
Creating your own schema : oracle 11g xe |
42 |
Dml : ınsert , update, delete in sql |
43 |
Creating the other schema objects: oracle 11g sql |
44 |
Learning constraints :sql |
45 |
Ddl data defination language – a note |
46 |
Sql as a set oriented language (union, union all, minus, intersect) |
47 |
Subqueries sql |
48 |
Pl/sql basics – an introduction |
49 |
An introduction to sql functions with examples |
50 |
Sql select statement – an introduction |
51 |
Sql operators |
52 |
Schema ,datatypes & constraints |
53 |
First step toward oracle database xe |
54 |
Sql ıntroduction & dbms interfaces |
55 |
1st post on oracle 11g sql : monkidea |
56 |
Rdbms components |
57 |
ındexing : (yet to be updated) |
58 |
Naming conventions & data integrity – rdbms |
59 |
Normalization: rdbms |
60 |
Data model & design – rdbms |
61 |
Removing ınconsistencies in designing rdbms |
62 |
Ddlc (database development life cycle) |
63 |
Rdbms – an ıntroduction |
64 |
Data in a dataset – set theory |
65 |
Data types |
66 |
Origin or sources or top generators of data for analytics |
67 |
Data definition (label dbms) |
68 |
Bıg data analytics : an ıntroduction |
69 |
Statistics tests a summary |
70 |
Why every business analyst needs to learn r |
71 |
Tools for analytıcs |
72 |
Use of analytics w.r.t ındustry domains |
73 |
Analytics as a process |
74 |
Top view of analytics bıg pıcture |
75 |
Emergence / evolution of analytics |
76 |
Terms and definition used in analytics |
77 |
Why do we need analytics |
78 |
Analytics overview |
79 |
Data analytics courses |
80 |
Projects whitepapers |
81 |
Services & products |
82 |
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