This document provides an overview of Excel training for effective data analysis and visualization. The training covers topics like table formatting, sorting and filtering data, text to columns, heatmaps, sparklines, and conditional formatting. These skills allow users to clean, visualize and interact with data in Excel worksheets for analysis. The document includes examples and practices for applying various formatting, analysis and visualization techniques in Excel.
From this power point you can get the details about Advanced Filter, Use of Macros with Advanced Filter, Data Validation, Creation of data validation Drop-Down List, Handling of External Data, Goal Seek, What-if analysis,
From this power point you can get the details about Advanced Filter, Use of Macros with Advanced Filter, Data Validation, Creation of data validation Drop-Down List, Handling of External Data, Goal Seek, What-if analysis,
MANAGEMENT OF DATABASE INFORMATION SYSTEM
Quering database
Queries are the fastest way to search for information in a database. A query is a database feature that enables the user to display records as well to perform calculations on fields from one or multiple tables.
You can analyze a table or tables by using:-
1. Select query or
2. An action query
Action query:-These are queries that are used to make changes in many records at once. They are mostly used to delete, update, add a group of records from one table to another, or create a new table from another table.
Types of action query in Microsoft Access are:-
1. Update-update data in a table.
2. Append query-add data in a table from one or more tables.
3. Make table Query-Creates a new table from a dynaset
4. Delete query-Delete specified records from one or more tables.
Select query
Is a type of query used for searching and analyzing data in one or more tables. It lets the user specify the search criteria and the records that meet those criteria displayed in a dynaset or analyzed depending on the user requirement.
Creating a selected query
1. Ensure that the database you want to create a query for is open
2. Click the query tab, then new
3. In the new query dialog box, choose either to create a query from in Designing view or using Wizard
4. To design from scratch, click design view. The show table dialo
Elementary Data Analysis with MS Excel_Day-4Redwan Ferdous
This event took place on 12th September 2020. This was arranged by EMK Center (Makerlab). The title was 'Elementary Data Analysis with MS Excel', where very basic data analysis with MS excel was discussed.
In Day-4, the MS Excel Data Tab, View and Review tab as well as Developer Tab of Horizontal top ribbon was discussed. As well as different Quick analysis tools, What-if Analysis, Data Table, Scenario Manager, Pareto Chart was also discussed.
For sales data analysis, by creating data breakdowns and filters (example by region, product, salesperson, etc). Objective of Easy Pivot is to provide alternative, easier to understand Pivot Table.
Bing Ads' Eric Couch dives in to beginning and advanced Excel tips and tricks for PPC marketers- including data analysis tips, Excel formulas, and incredibly handy plugins.
The Wear-Ever Shoes company maintains inventory data and custome.docxpelise1
The Wear-Ever Shoes company maintains inventory data and customer survey results in your workbook. You use
Lookup & Reference
,
Database
, and
Logical
functions to complete the data. You also use a
Financial
function to calculate depreciation and a
Text
function to enter email addresses.
[Student Learning Outcomes 6.1, 6.2, 6.3, 6.5, 6.6, 6.7]
File Needed:
WearEverShoes-06.xlsx
(Available from the
Start File
link.)
Completed Project File Name:
[your name]-WearEverShoes-06.xlsx
Skills Covered in This Project
Nest
INDEX
and
MATCH
functions.
Use
SUMIFS
from the
Math & Trig
category.
Use
DAVERAGE
.
Create an
IFS
formula.
Use a
Text
function to concatenate text strings.
Calculate depreciation with the
DB
function.
Open the
WearEverShoes-06
start file. The file will be renamed automatically to include your name. Change the project file name if directed to do so by your instructor, and save it.
Click the
Inventory
sheet tab.
Select cells
A3:I39
, click the
Name
box, type
Inventory
as the range name, and press
Enter
.
Select cell
L5
and type
WE006
.
Create a nested function with
INDEX
and
MATCH
to display inventory for a product.
Select cell
L6
.
Click the
Lookup & Reference
button [
Formulas
tab,
Function Library
group] and choose
INDEX
. Select the first argument list
array, row_num, column_num
and click
OK
.
For the
Array
argument, press
F3
(
FN
+
F3
) and select
Inventory
.
Click the
Row_num
box and click the
Name
box arrow. Choose
MATCH
in the list or choose
More Functions
to find and select
MATCH
. The
INDEX
function uses this
MATCH
statement to find the row.
Click cell
L5
for the
Lookup_value
argument.
Click the
Lookup_array
box and select cells
A3:A39
. This
MATCH
function finds the row that matches cell L5 in column A.
Click the
Match_type
argument and type
0
.
Click
INDEX
in the
Formula
bar. (Click
OK
if the argument list opens.)
Click the
Column_num
argument, click the
Name
box arrow, and choose
MATCH
(Figure 6-92).
Figure 6-92
MATCH
is nested twice
Type
quantity
in the
Lookup_value
box.
Click the
Lookup_array
box and select cells
A3:I3
. This
MATCH
function finds the cell in the “Quantity” column after the row is located by the first
MATCH
function.
Click the
Match_type
box and type
0
. The formula is
=INDEX(Inventory,MATCH(L5,A3:A39,0),MATCH(“quantity”,A3:I3,0))
.
Click
OK
. The result is 2.
Click cell
L5
, type
WE015
, and press
Enter
. The quantity is updated.
Use
SUMIFS
to calculate total pairs in stock by specific criteria.
Select cell
M13
.
Click the
Math & Trig
button [
Formulas
tab,
Function Library
group] and choose
SUMIFS
.
Select cells
E4:E39
for the
Sum_range
argument and press
F4
(
FN
+
F4
) to make the references absolute.
Click the
Criteria_range1
box, select cells
C4:C39
, the “Color” field, and press
F4
(
FN
+
F4
).
Click the
Criteria1
.
Learn excel and earn more. Excel is fun if you give some times.
Target Audience
For those who have attended Microsoft Excel Basic course or for users with fair knowledge in Microsoft Excel.
bis 155 week 3 quiz data analysis with spreadsheets with lab,bis 155,bis 155 entire course,bis 155 devry,devry bis 155,bis 155 ilabs,bis 155 exercise, bis 155 final exam,devry bis 155 course project,bis155 week 3 ilab,bis 155 week 3 quiz
What-If Analysis is the process of changing the values in cells to see how those changes will affect the outcome of formulas on the worksheet.
Four kinds of What-If Analysis tools come with Excel: Scenarios, Goal Seek, Solver, and Data Tables. Scenarios and Data Tables take sets of input values and determine possible results.
(https://support.office.com/en-us/article/introduction-to-what-if-analysis-22bffa5f-e891-4acc-bf7a-e4645c446fb4)
Scenarios: It is a collection of input values that are placed in formulas to get a result.
Goal Seek: It is used to find desired result by changing an input value.
Solver: It is used to find optimal solutions for all kind of decision issues.
Data Table: It is a range of cells where one column consists of a series of values, called input cells.
Elementary Data Analysis with MS Excel_Day-2Redwan Ferdous
This event took place on 5th September 2020. This was arranged by EMK Center (Makerlab). The title was 'Elementary Data Analysis with MS Excel', where very basic data analysis with MS excel was discussed.
In Day-2, MS Excel Options, Ribbon, Home, Insert, Pivot, Page Break, Slicer, Spider Chart, Histogram, Conditional Formating, Flash Fill, Sorting, Filtering, Inter Sheet Data Fetching etc. were discussed. The trainer was Redwan Ferdous.
Chatty Kathy - UNC Bootcamp Final Project Presentation - Final Version - 5.23...John Andrews
SlideShare Description for "Chatty Kathy - UNC Bootcamp Final Project Presentation"
Title: Chatty Kathy: Enhancing Physical Activity Among Older Adults
Description:
Discover how Chatty Kathy, an innovative project developed at the UNC Bootcamp, aims to tackle the challenge of low physical activity among older adults. Our AI-driven solution uses peer interaction to boost and sustain exercise levels, significantly improving health outcomes. This presentation covers our problem statement, the rationale behind Chatty Kathy, synthetic data and persona creation, model performance metrics, a visual demonstration of the project, and potential future developments. Join us for an insightful Q&A session to explore the potential of this groundbreaking project.
Project Team: Jay Requarth, Jana Avery, John Andrews, Dr. Dick Davis II, Nee Buntoum, Nam Yeongjin & Mat Nicholas
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Round table discussion of vector databases, unstructured data, ai, big data, real-time, robots and Milvus.
A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
Adjusting OpenMP PageRank : SHORT REPORT / NOTESSubhajit Sahu
For massive graphs that fit in RAM, but not in GPU memory, it is possible to take
advantage of a shared memory system with multiple CPUs, each with multiple cores, to
accelerate pagerank computation. If the NUMA architecture of the system is properly taken
into account with good vertex partitioning, the speedup can be significant. To take steps in
this direction, experiments are conducted to implement pagerank in OpenMP using two
different approaches, uniform and hybrid. The uniform approach runs all primitives required
for pagerank in OpenMP mode (with multiple threads). On the other hand, the hybrid
approach runs certain primitives in sequential mode (i.e., sumAt, multiply).
Quantitative Data AnalysisReliability Analysis (Cronbach Alpha) Common Method...2023240532
Quantitative data Analysis
Overview
Reliability Analysis (Cronbach Alpha)
Common Method Bias (Harman Single Factor Test)
Frequency Analysis (Demographic)
Descriptive Analysis
Adjusting primitives for graph : SHORT REPORT / NOTESSubhajit Sahu
Graph algorithms, like PageRank Compressed Sparse Row (CSR) is an adjacency-list based graph representation that is
Multiply with different modes (map)
1. Performance of sequential execution based vs OpenMP based vector multiply.
2. Comparing various launch configs for CUDA based vector multiply.
Sum with different storage types (reduce)
1. Performance of vector element sum using float vs bfloat16 as the storage type.
Sum with different modes (reduce)
1. Performance of sequential execution based vs OpenMP based vector element sum.
2. Performance of memcpy vs in-place based CUDA based vector element sum.
3. Comparing various launch configs for CUDA based vector element sum (memcpy).
4. Comparing various launch configs for CUDA based vector element sum (in-place).
Sum with in-place strategies of CUDA mode (reduce)
1. Comparing various launch configs for CUDA based vector element sum (in-place).
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Data and AI
Discussion on Vector Databases, Unstructured Data and AI
https://www.meetup.com/unstructured-data-meetup-new-york/
This meetup is for people working in unstructured data. Speakers will come present about related topics such as vector databases, LLMs, and managing data at scale. The intended audience of this group includes roles like machine learning engineers, data scientists, data engineers, software engineers, and PMs.This meetup was formerly Milvus Meetup, and is sponsored by Zilliz maintainers of Milvus.
The Building Blocks of QuestDB, a Time Series Databasejavier ramirez
Talk Delivered at Valencia Codes Meetup 2024-06.
Traditionally, databases have treated timestamps just as another data type. However, when performing real-time analytics, timestamps should be first class citizens and we need rich time semantics to get the most out of our data. We also need to deal with ever growing datasets while keeping performant, which is as fun as it sounds.
It is no wonder time-series databases are now more popular than ever before. Join me in this session to learn about the internal architecture and building blocks of QuestDB, an open source time-series database designed for speed. We will also review a history of some of the changes we have gone over the past two years to deal with late and unordered data, non-blocking writes, read-replicas, or faster batch ingestion.
Excel Training for Sales, Marketing, Online Managers
1. Excel Training for effective
data analysis and visualisation
Joern Steinz / SkillDay.de
2. Training
Content
2
SD SkillDay.de
Data
analysis
Func4ons
and
calcula4ons
Data
visualiza4on
3. 1
Table
forma<ng
3
SD SkillDay.de
2
3
Get
a
worksheet
that
is
clean,
visually
appealing,
and
interac7ve.
Do
this
with
every
data
export
to
Excel!
• Click
in
data
>
select
table
tab
>
open
insert
table
with
or
without
headlines
• Excel
will
auto-‐detect
the
borders
of
your
table
• Hide
or
delete
columns
you
are
not
going
to
use
(right
click
on
columns)
• Auto
expand
the
column
widths
(double-‐click
on
any
column
separator)
• Remove
gridlines
(Layout
>
4ck
off
gridlines)
• Freeze
headline
cells
to
enable
scrolling
with
fixed
headlines
(Layout
>
fix
cells)
The
best
benefit
to
forma<ng
your
data
as
a
table,
is
the
mul4plicity
of
sort
and
filter
op7ons
it
offers.
4. Sor4ng
Op4ons
(1/3)
4
SD SkillDay.de
Excel
offers
three
ways
to
sort
your
table
• Click
on
the
triangle
in
the
column’s
heading
you
want
to
sort
the
table
by,
then
choose
your
sort
op4on
at
the
top
of
the
menu.
• Op4ons:
1. Smallest
to
Largest
(or
vice
versa)
2. Colour
(you
need
to
apply
condi4onal
forma<ng
first
to
get
a
colour,
e.g.
format
the
top
10%
with
a
colour)
3. Custom
(if
you
want
to
sort
by
more
than
one
value)
5. Sor4ng
Op4ons
(2/3)
5
SD SkillDay.de
Sort
by
cell
colour
• Get
the
colour
from
Start
>
Condi4onal
Forma<ng
>
Top/Bo[om
Rules
1
2
• Sort
the
column
by
cells
with
a
colour
fill.
In
the
example:
If
you
wanted
the
keywords
with
the
highest
click
rate
to
float
to
the
top
of
the
table,
simply
click
on
the
yellow
bar
under
sort
by
cell
colour.
6. Sor4ng
Op4ons
(3/3)
6
SD SkillDay.de
Custom
sor7ng
enables
you
to
sort
by
more
than
one
value.
Prac4ce:
Sort
first
by
top
10%
click
rate
and
then
by
impressions.
1
2
3
4
7. Filtering
Op4ons
7
SD SkillDay.de
Filter
op7ons
hide
rows
based
on
the
criteria
you
choose.
Prac4ce:
Filter
all
searches
that
contain
the
word
„WordPress“.
• A
great
useful
filter
is
the
text
filter.
It
allows
to
filter
out
all
phrases
in
a
column
that
contain
a
certain
keyword.
• Filters
can
be
released
again
by
clicking
the
clear
filter
in
the
filter
menu.
1
2 3
8. Text
to
columns
8
SD SkillDay.de
Great
tool
to
break
up
data
of
any
type
into
cells,
e.g.
if
you
copy
data
from
a
PDF
file.
• Right
click
on
column
with
data
and
format
data
as
text
• Select
data
>
(shortcut
cmd
+
shif
+
arrow
key
down)
>
go
to
data
>
select
text
to
columns
• In
the
menu
that
opens
select
delimited
(getrennt)
• Next
select
space
as
a
delimiter
for
our
example
• Click
finish
Data
source:
h[p://www.bmi.bund.de/SharedDocs/Downloads/DE/
Nachrichten/Pressemi[eilungen/2014/06/
PKS2013.pdf;jsessionid=C631643A0195F60CDA85223034B0B418.2_cid295?
__blob=publica4onFile
10. Heatmaps
10
SD SkillDay.de
Powerful
feature
in
Excel
to
highlight
intensi7es
• Highlight
data
• Go
to
start
>
condi4onal
forma<ng
• Select
colour
scales
Data
source:
h[p://www.bmi.bund.de/SharedDocs/Downloads/DE/
Nachrichten/Pressemi[eilungen/2014/06/
PKS2013.pdf;jsessionid=C631643A0195F60CDA85223034B0B418.2_cid295?
__blob=publica4onFile
11. Sparklines
11
SD SkillDay.de
Use
sparklines
for
quick
trend
analyses
1 • Click
in
cell
where
you
like
the
sparkline
to
appear
• Choose
diagrams
>
sparklines
• Modify
line
strength
(e.g.
1)
• Add
markers
for
high
&
low
points
• Change
marker
colours
to
meet
your
needs
• Drag
down
format
along
all
rows
of
your
table
2
12. Condi4onal
Forma<ng
12
SD SkillDay.de
Effec7ve
tool
to
quickly
highlight
cells
based
on
certain
criteria
13. Condi4onal
Forma<ng
(1/3)
13
SD SkillDay.de
Prac7ce
1:
Show
which
keywords
rank
on
page
1,
2
and
3
on
Google
with
traffic
lights
icons
1
2
3
4
14. Condi4onal
Forma<ng
(2/3)
14
SD SkillDay.de
Prac7ce
1:
Show
which
keywords
rank
on
page
1,
2
and
3
on
Google
with
traffic
lights
icons
1
23
16. Condi4onal
Forma<ng
16
SD SkillDay.de
Prac7ce
2:
Highlight
only
the
cells
with
an
arrow
icon
that
have
a
click
rate
>
20%
and
lower
than
5%
1
2 3
17. Condi4onal
Forma<ng
17
SD SkillDay.de
Prac7ce
3:
Only
highlight
cells
with
more
than
300
impressions
1 2
3
4
18. Pivot
table
18
SD SkillDay.de
Setup
and
grouping
of
dates
to
analyse
massive
sets
of
data
1
3
4
2
What
you
want
to
analyse
Row
data
Column
data
To
group
dates
in
month,
right
click
in
dates,
then
select
grouping
=>
months
Source
of
data:
h[ps://www.anniely4cs.com/blog/excel-‐4ps/how-‐to-‐create-‐and-‐customize-‐pivot-‐tables-‐in-‐excel/
19. VLookup
(SVerweis)
19
SD SkillDay.de
Finds
a
value
in
a
column
to
the
right
of
a
search
criteria,
e.g.
what
is
the
ranking
posi7on
for
the
term
“WordPress
Seminar”?
1.
Create
help
table
2.
Click
in
cell
where
you
like
to
see
the
results
3.
Open
func7on
assistant
4.
Search
for
VLookup
5.
Search
criteria
from
help
table
(1)
6.
Select
the
whole
table
7.
Column
number
where
the
result
will
be
found
8.
Always
enter
“0”
to
get
an
exact
value
20. Coun4f
(Zählenwenn)
20
SD SkillDay.de
Powerful
func7on
to
count
the
frequency
of
a
certain
value.
Prac7ce:
Analyse
survey
results
“how
did
you
like
the
event?”
1.
Click
in
cell
where
the
result
should
appear
2.
Open
func7on
assistant
(func7ons
(formeln)
=>
func7on
assistant
3.
Search
for
coun7f
4.
Select
the
data
range
that
contains
the
desired
values
5.
Enter
cell
that
contains
the
criteria
that
should
be
counted
21. Frequency
(Häufigkeit)
21
SD SkillDay.de
Counts
frequency
of
a
certain
value
up
to
a
BREAK
POINT
(limit).
Prac7ce:
How
many
keywords
rank
on
posi7ons
1-‐3,
4-‐7,
8-‐10?
1.
Define
break
points
2.
Select
cell
for
coun7ng
results
3.
Open
frequency
func7on
in
func7on
assistant
4.
Select
range
in
table
that
contains
search
criteria
5.
Enter
cell
that
contains
break
point
6.
Calculate
values
for
ranges
by
substrac7ng
the
afore
frequency,
e.g.
“range
4-‐7”
=
131
(180-‐49)
22. Goal
seek
(Zielwertsuche)
(1/2)
22
SD SkillDay.de
Useful
func7on
to
calculate
a
required
value
to
meet
a
certain
goal.
Prac7ce:
What
quan7ty
must
be
sold
in
March
to
hit
our
Q1
target?
1.
Create
the
sum
product
of
the
current
revenues
2.
Go
to
data
and
select
what-‐if-‐analysis
3.
Choose
the
goal
seek
func7on
23. Goal
seek
(Zielwertsuche)
(2/2)
23
SD SkillDay.de
4.
The
cell
that
contains
the
formula
(here
the
sum
product
func7on)
6.
Enter
variable
cell
(the
value
we
are
looking
for)
5.
Enter
target
value
Useful
func7on
to
calculate
a
required
value
to
meet
a
certain
goal.
Prac7ce:
What
quan7ty
must
be
sold
in
March
to
hit
our
Q1
target?
24. Data
table
(break-‐even-‐analysis)
(1/2)
24
SD SkillDay.de
What-‐if-‐analysis
to
show
results
for
many
scenario
at
once.
Prac7ce:
Find
break
even
points
for
price
/
quan7ty
combina7ons.
1.
Set
up
profit
equia7on
2.
Create
a
table
with
all
possible
combina7ons
of
price
and
quan7y
3.
Enter
profit
equia7on
and
highlight
the
en7re
table
4.
Go
to
Data
=>
Pivot
Table
=>
Data
Table
5.
Enter
cell
for
row
(click
on
cell
that
contains
the
price
in
our
example)
6.
Enter
cell
for
column
(quan7ty)
25. Data
table
(break-‐even-‐analysis)
(2/2)
25
SD SkillDay.de
What-‐if-‐analysis
to
show
results
for
many
scenario
at
once.
Prac7ce:
Find
break
even
points
for
price
/
quan7ty
combina7ons.
Apply
condi7onal
formalng
to
results
(colour
scales)
and
set
yellow
value
to
0
26. Make
a
trend
stand
out
26
SD SkillDay.de
Deconstruct
Excel´s
standard
charts,
isolate
data,
reconstruct
with
what
you
need
for
your
message,
use
colour
strategically
Source:
Data
from
the
blog
“Storytelling
with
data”,
Cole
Nussbaumer
27. How
to
build
a
waterfall
chart
27
SD SkillDay.de
Perfect
chart
to
demonstrate
how
change
occurred
over
7me.
Prac7ce:
Show
staff
development
in
an
office
within
one
year.
Source: Data from the blog “Storytelling with data”, Cole Nussbaumer
1.
Create
data
to
be
used
in
stacked
chart
2.
Data
for
bonom
bars
3.
Data
for
top
bars
(the
change
you
like
to
show)
4.
Create
stacked
chart
and
make
bonom
bars
of
change
data
transparent
28. How
to
build
a
slope
graph
28
SD SkillDay.de
Can
be
useful
when
you
have
two
7me
periods
of
data
and
want
to
contrast
the
increases/decreases
between
the
two
periods
• A
slope
graph
is
a
line
chart
that
has
only
two
data
points
(here
before
and
afer
a
change)
Remove
Y
axis
and
use
a
text
field
for
labels
To
add
X
axis
labels,
click
in
chart,
select
mark
data
and
select
data
for
X
axis
from
your
table
To
posi7on
labels
at
the
end
points
of
the
lines,
click
on
axis,
select
scale
and
remove
check
in
default
selng
29. How
to
link
Excel
to
PowerPoint
29
SD SkillDay.de
Link
charts
from
Excel
to
PowerPoint
and
Word,
so
that
they
automa7cally
update,
when
data
in
the
spreadsheet
changes
• Copy
chart
(cmd+c)
• Go
to
PowerPoint
and
select
paste
special
• Insert
chart
as
a
“MS
Office-‐Zeichnungsobjekt”
This
is
how
it
works
on
a
Mac.
If
you
work
on
a
PC
you
must
select
the
following
op4ons:
Source:
Screenshot:
h[ps://www.youtube.com/watch?v=Y8p-‐PgrN6Cs
30. Thank you!
If you have any questions or
remarks regarding these functions
feel free to contact me at
joern@skillday.de