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Data Science

Data Analytics & Machine Learning

Learn how to

  • Extract knowledge and insights from different data types,
  • Use scientific methods, processes, algorithms, and systems

in this interdisciplinary field and get the essential skills expected from a data scientist.

By this program, in addition to learn how to build complex quantitative algorithms and synthesize large amounts of information, gain the leadership and communication skills necessary to deliver measurable and tangible results to a variety of business stakeholders!

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level

Beginner to Advanced

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duration:

3-9 months

*depends on the levels

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Location:

Online only

offering
Influential community

Influential community

Mentoring
Portfolio Projects
Career Coaching
Live Instruction

About The Data Science Course

Data science is being used across different industries. This field has paramount importance for skilled professions and organizations focused on collecting data and extracting meaningful insights out of it to aid business growth.
This program is delivered as a part-time/fulltime program where you learn every day through pre-class, in-class, and post-class activities behind the lab and mentoring sessions.

At the end of the course, you will be able to identify important questions in your field of study, collect relevant data from various sources with the help of the tools you have learned, store and organize data, decipher useful information and eventually turn them into business solutions and present the findings that will positively affect the business.

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Data Analyst

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Machine Learning Engineer

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Upcoming Programs

27 Mar 2023

Max. 15 Seats Available

Data Science / Machine Learning for Beginners – Türkisch

Modules: IT Fundamentals + Module 1 Data Analysis + Module 2 ML & DL
Schedule: 09:00-16:45 Berlin (CET)
Duration: 39 Weeks
Prerequisites…

  • None

27 Mar 2023

Max. 6 Seats Available

Data Science / Machine Learning for Professionals – Türkisch

Modules: Module 1 Data Analysis + Module 2 ML & DL
Schedule: 09:00-16:45 Berlin (CET)
Duration: 26 Weeks
Prerequisites…

  • Python
  • GIT/GITHUB
  • SQL Basics

27 Mar 2023

Max. 15 Seats Available

Data Analytics / Data Visualization for Beginners – Türkisch

Modules: IT Fundamentals + Module 1 Data Analysis
Schedule: 09:00-16:45 Berlin (CET)
Duration: 26 Weeks
Prerequisites…

  • None

TBA

Max. 6 Seats Available

Data Analytics / Data Visualization for Professionals – Türkisch

Modules: Module 1 Data Analysis
Schedule: 09:00-16:45 Berlin (CET)
Duration: 13Weeks
Prerequisites…

  • Python
  • GIT/GITHUB
  • SQL Basics

27 Mar 2023

Max. 15 Seats Available

Data Science / Machine Learning for Beginners – Englisch

Modules: IT Fundamentals + Module 1 Data Analysis + Module 2 ML & DL
Schedule: 14:30-22:25 Berlin (CET)
Duration: 39 Weeks
Prerequisites…

  • None

27 Mar 2023

Max. 15 Seats Available

Data Science / Machine Learning for Professionals – Englisch

Modules: Module 1 Data Analysis + Module 2 ML & DL
Schedule: 14:30-22:25 Berlin (CET)
Duration: 26 Weeks
Prerequisites…

  • Python
  • GIT/GITHUB
  • SQL Basics

27 Mar 2023

Max. 15 Seats Available

Data Analytics / Data Visualization for Beginners – Englisch

Modules: IT Fundamentals + Module1 Data Analysis
Schedule: 14:30-22:25 Berlin (CET)
Duration: 26 Weeks
Prerequisites…

  • None

27 Mar 2023

Max. 15 Seats Available

Data Analytics / Data Visualization for Professionals – Englisch

Modules: Module 1 Data Analysis
Schedule: 14:30-22:25 Berlin (CET)
Duration: 13 Weeks
Prerequisites…

  • Python
  • GIT/GITHUB
  • SQL Basics

What will you learn?

ITF

Information Technologies Framework (ITF)

  • Computer Fundamentals
  • Computational Thinking
  • Software Development Life Cycle
  • Scratch (Google CS First
  • Agile
  • Jira
  • Linux
  • HTML
  • CSS
  • GIT
  • Programming with Python
  • SQL
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Module

Data Analysis

  • Statistics
  • Data Analysis with Python
  • Database Design and Modelling
  • Data Analysis with SQL
  • 10 Small and Medium Projects
  • Data Visualization with Python
  • Data Visualization with Tableau
  • Google SpreadSheets
  • 15 Small and Medium Projects
02

Module

Machine Learning & Deep Learning

  • Machine Learning
  • Deep Learning
  • Introduction to Machine Learning Engineering
  • 14 Small and Medium Projects
  • 1 Capstone Project
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Although it was a busy schedule, it was very enjoyable. The efforts of our instructors to teach us, the educational technologies they use, the course contents, the assignments given, follow-ups, our mentors… I was more than satisfied with all of them.

Merve

Cohort 2 / Data Science

Why should take Data Science course?

In today’s world, every company irrespective of sector or skill whether it be a fortune 100 company or start-up there is one thing that’s common that data is their biggest asset. It is not possible for companies to be sustainable if they are not data-driven, regardless of the industry.

Data science has a wide range of application areas such as E-commerce, gaming, healthcare, manufacturing, transport, banking, finance, and much more. All around us there are so many applications of data science and machine learning ranging from image recognition in Facebook to recommendations on Netflix.

As a result, companies across industries and sectors are looking to hire personnel skilled in data science. Data Science is one of the most promising career paths.

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Frequently Asked Questions

Who can attend this program?

Although a good academic background provides an advantage to the interested person when it comes to the data science profession, it is certainly not an eligibility criterion. Anyone with a basic educational background and an intellectual curiosity towards the subject matter can start a career on this path. For beginners, we have a specially designed IT fundamentals training program before the main courses start. What makes us unique, in terms of IT training for newcomers, is that applicants are not required to pass any technical elimination process before starting our programs, except a simple assessment of their communication skills. What we want from participants is motivation, commitment, discipline and hard work to enable them to stand out as professionals in the IT market.

What will I learn?

With this program, you will be skilled in data science topics like machine learning, statistical analysis, and data analysis. You will have expertise on tools and technologies such as SQL, Tableau, and Python that are relevant in the industry.

Why data science?

This program prepares you for exciting IT roles like data engineer, business analyst, data analyst, data scientist, and more…

What are the payment options you offer?

We provide various payment options like:

  • Full/Up-front discount
  • Installment payment option (different maturity options)

When does the next cohort start?

Classes begin on JAN 3rd and JAN 24th, 2022 for the next cohort. The orientation sessions are scheduled for the last weekend before the classes begin.