Praha (90 000 Kč)
Brno (90 000 Kč)
Bratislava (3 750 €)
For a business to thrive in our data-driven world, it must treat data as one of its most important assets. Data is crucial for understanding where the business is and where it's headed. Not only can data reveal insights, it can also inform — by guiding decisions and influencing day-to-day operations. This calls for a robust workforce of professionals who can analyze, understand, manipulate, and present data within an effective and repeatable process framework. In other words, the business world needs data science practitioners. This course will enable you to bring value to the business by putting data science concepts into practice. This course includes hands on activities for each topic area.
This course is designed for business professionals who leverage data to
address business issues. The typical student in this course will have several
years of experience with computing technology, including some aptitude in
computer programming.
However, there is not necessarily a single
organizational role that this course targets. A prospective student might be a
programmer looking to expand their knowledge of how to guide business decisions
by collecting, wrangling, analyzing, and manipulating data through code; or a
data analyst with a backgroundin applied math and statistics who wants to take
their skills to the next level; or any number of other datadriven situations.
Ultimately, the target student is someone who wants to learn how to more
effectively extract insights from their work and leverage that insight in
addressing business issues, thereby bringing greater value to the business.
This course is also designed to assist students in preparing for the
CertNexus® Certified Data Science Practitioner (CDSP) (Exam DSP-110)
certification.
In this course, you will implement data science techniques in order to address business issues. You will:
To ensure your success in this course, you should have at least a high-level
understanding of fundamental data science concepts, including, but not limited
to: types of data, data science roles, the overall data science lifecycle, and
the benefits and challenges of data science. You can obtain this level of
knowledge by taking the CertNexus DSBIZ™ course. You should have also experience
with high-level programming languages like Python. Being comfortable using
fundamental Python data science libraries like NumPy and pandas is highly
recommended. You can obtain this level of skills and knowledge by taking the
Logical Operations course Using Data Science Tools in Python®.
In
addition to programming, you should also have experience working with databases,
including querying languages like SQL. Several Logical Operations courses can
help you attain this experience:
Official guide book for this course
Uvedené ceny jsou bez DPH.