Certification Trainings for: - Business Intelligence & Reporting - Data Science - Programming - Process Mining - Deep Learning Tools: SQL, QlikSense, PowerBI, Microsoft, Python, R, TensorFlow, Celonis

1. 2020
Qualification
& Certification

2. Trainings
01 DATA ANALYSIS
with SQL
02 REPORTING
with PowerBI or QlikSense
03 PROCESS MINING
for Analysts & Engineers
04 DATA SCIENCE
with Python
05 DATA SCIENCE
with R
07 TEXT ANALYTICS
with R
09 DATA STRATEGY
for Managers
06 PROGRAMMING
for Data Experts
08 DEEP LEARNING
with TensorFlow

3. 01 Data Analysis
with SQL
SELECT c.ID, c.Name, SUM(o.Volume), o.Currency
FROM data.dbo.Orders AS o
LEFT JOIN data.dbo.Customers AS c
ON o.custID = c.ID
WHERE o.Country = „DE“
GROUP BY c.ID, c.Name, o.Currency
ORDER BY SUM(o.Volume) DESC

4. LEARNING
You will understand relational databases
and how to use SQL to analyze structured
data for business analysis. You will learn
to do management reporting and how to
build automated reports. Furthermore you
will refresh your basic knowledge about
statistics.
Since data-driven decisions are an important step to
become a competitive company, Data Analysis is a key-skill
for business people and manager today. All company data
is stored in structured databases and will become value
only if used.
TARGET GROUP
Data Scientists
LANGUAGE
German or English
DATA ANALYSIS
with SQL

5. 02 Reporting
with Power BI or QlikSense

6. LEARNING
You will learn to understand the concepts
of Ad-Hoc- and Standard Reporting as well
as to generate own reports based on data
from several data sources. Furthermore you
will learn guidelines for good reports and
how to present information in a valuable
way. Furthermore you will learn how to
analyze, filter and visualize data to gain new
insights.
Standard Reporting is the provision of information delivery
to decision-makers within an organization to support them
in their work. It is a fundamental part of the larger
movement towards improved business intelligence and
knowledge management.
TARGET GROUP
Business Analysts
Data Analysts
Business Experts
Engineers
Data Scientists
LANGUAGE
German or English
Coming soon:
REPORTING
with PowerBI or QlikSense

7. 03 PROCESS MINING
for Analysts and Engineers

8. LEARNING
You will learn to understand the
concepts of Process Mining. You will
learn to generate own event-logs and
how to load them into a Process Mining
Tool. Furthermore you will learn how to
analyze, filter and visualize process
flows based on data.
Process Mining is applied to event log data in order to
identify trends, patterns and details contained in event logs
recorded by an information system like an ERP- or CRM-
System. Process mining aims to improve process efficiency
and audit capability as well as better process
understanding.
TARGET GROUP
Business Analysts,
Engineers,
Data Analyst,
Data Scientists
LANGUAGE
German or English
PROCESS MINING
for Analyst and Engineers

9. 04 DATA SCIENCE
with Python

10. LEARNING
You will learn how to use statistics and
machine learning for data mining and
developing models of predictive analytics.
Beside theoretical concepts you will also
learn how to implement those with the
python programming language including
packages like numpy, pandas, matplotlib,
seaborn and scikit-learn.
Data science is a multi-disciplinary field that uses statistical
methods to extract knowledge and insights from structured
and unstructured data. It is the deep dive into data with the
idea to answer questions that appear while understanding the
current business situation.
TARGET GROUP
Data Analyst,
Data Scientists,
Data Engineers,
Software Developer
LANGUAGE
German or English
DATA SCIENCE
with Python

11. 05 DATA SCIENCE
with R

12. LEARNING
You will learn how to use statistics and
machine learning for data mining and
developing models of predictive analytics.
You will learn not just the theoretical
concepts but also how to implement those
with the R programming language
including packages like dplyr, readr,
ggplot, rmarkdown and caret.
TARGET GROUP
Data Analyst,
Data Scientists,
Data Engineers,
Software Developer
LANGUAGE
English
DATA SCIENCE
with R
Data science is a multi-disciplinary field that uses statistical
methods to extract knowledge and insights from structured
and unstructured data. It is the deep dive into data with the
idea to answer questions that appear while understanding the
current business situation.

13. 06 PROGRAMMING
for Data Experts
from urllib.request import urlopen
import os
import warnings
import json
def load():
if not os.path.exists(JSON):
msg = ‘downloading {} to {}‘.format(URL, JSON)
warnings.warn(msg)
with urlopen(URL) as remote, open(JSON, ‘wb‘) as local:
local.write(remote.read())
with open(JSON) as fp:
return json.load(fp)

14. LEARNING
You will learn how to use python for
gathering structured and unstructured data
and how to develop own models and systems
with an object-oriented implementation. You
will learn about automated documentation
and testing in python. Furthermore you will
get ready to use typical packages used by
experienced Data Scientists / Data Engineers.
Python programming is a key-skill in Data Science and Data
Engineering. Good programming will enable you not just to
develop machine learning models but also to parse and handle
unstructured data and to deploy your models with oop-
programming and clean code.
TARGET GROUP
Data Analyst,
Data Scientists,
Data Engineers
LANGUAGE
German or English
PROGRAMMING
with Python for Data Experts

15. 07 TEXT ANALYTICS
with R

16. LEARNING
You will learn how to mine data from
unstructured text. You will learn not just
the theoretical concepts but also how to
implement those with the R programming
language including packages like tm,
dplyr, Rweka, lsa, quanteda, rmarkdown
and caret.
TARGET GROUP
Data Analyst,
Data Scientists,
Data Engineers,
Software Developer
LANGUAGE
English
TEXT ANALYTICS
with R
Any data professional who is interested in doing some
advanced analytics will also be confronted with unstructured
text data. Specific tasks could be text classification or
clustering for uses cases such like sentiment analysis, text
summarization, Natural Language Processing (NLP) and
Generation (NLG).
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17. 08 DEEP LEARNING
with TensorFlow

18. LEARNING
You will learn how to use Python or R and
TensorFlow to develop own deep neural
networks to predict business events, to
gain text understanding or to identify
objects based on image data. Furthermore
you will learn the most common concepts
and architectures of artificial neural
networks.
Deep Learning is the new enabler for predictive analytics and
data mining and a concept of Artificial Intelligence. It can learn
any kind of behavior of humans or machines, It is used for text
or image understanding or to predict business events such as
machine failure or returned customer orders.
TARGET GROUP
Data Scientists, Data
Engineers
LANGUAGE
German or English
DEEP LEARNING
with Python and TensorFlow

19. 09 DATA STRATEGY
for Managers

20. LEARNING
You will learn the most important concepts,
architectures and tools. You will understand
the dependencies of all those buzzwords.
And finally you will learn and train how to
develop simple, but valuable data strategies for
your company – step by step.
Successful data projects need clever plans how to identify
relevant data, to choose the best analytical method and to
find the suitable tool to reach the target. Data Strategy is like
a business plan for the data which you can use to pitch in
front of the management board. And it is a strategic plan for
the management board how to succeed by using data.
TARGET GROUP
Managers
LANGUAGE
German or English
1 Vision
2 Data
3 Analytics
4 Systems
5 Plan
6 Strategy
DATA STRATEGY
for Managers

21. DATANOMIQ GmbH
Contact:
Benjamin Aunkofer
aunkofer@datanomiq.de
Franklinstr. 11
10587 Berlin