Columbia Engineering Executive Education

Applied Data Science

Columbia Engineering Executive Education
Online
  • Columbia Engineering Executive Education

Preis auf Anfrage
PREMIUM-KURS

Wichtige informationen

Tipologie Kurs
Methodologie Online
Dauer 3 Months
Beginn nach Wahl
  • Kurs
  • Online
  • Dauer:
    3 Months
  • Beginn:
    nach Wahl
Beschreibung

Data Science is becoming the future! Do you want to be part of it? Complete this course at Emagister.co.uk and further your skill set in this growing industry.

Data has been called the new global currency, and its meteoric rise is transforming entire industries and driving the demand for practitioners who can wield its power. From health care and finance to entertainment, cybersecurity and beyond, the need for data scientists continues to grow in tandem opportunities for career advancement within the field.

To help fill this talent gap and further the use of data science to solve real-world problems, Columbia Engineering Executive Education has partnered with EMERITUS to create the Applied Data Science course.

Our approach to this course is to teach the underlying concepts and statistics of Data Science.

Going beyond the theory, our approach invites participants into a conversation, where learning is facilitated by live subject matter experts and enriched by practitioners in the field of data science. We expect learners would be required to put in 6-8 hours per week.

Upon successful completion of the course, participants will receive a verified digital certificate from EMERITUS in collaboration with Columbia Engineering Executive Education.

Enrol today at Emagister.co.uk

Wichtige informationen
Welche Ziele verfolgt der Kurs?

This course is designed for working professionals looking to gain skills in advanced concepts in Data Science. This course demands consistent work and a time commitment of six to eight hours per week during the 3-month journey.

Intellectual Capital:
- Global Education
- Rigorous and experiential curriculum
- World-renowned faculty
- Globally Connected Classroom: Peer to Peer Learning Circles
- Action Learning: Learning by Doing

Brand Capital:
- Certificate from EMERITUS in collaboration with Columbia
- Engineering Executive Education

Social Capital:
- Build new networks through peer interaction
- Benefit from diverse class profiles

Career Capital:
- Professional Acceleration through our enriched leadership toolkit
- Learn while you earn
- Get noticed. Get ahead.

Ist dieser Kurs für mich?

This course is designed for professionals currently in or seeking to secure a position as a:

Data Analyst
Business Analyst
Statistician/Mathematician
Data Engineer
Big Data Engineer
Software Developer

Voraussetzungen: The course requires an undergraduate knowledge of statistics, (descriptive statistics, regression, sampling distributions, hypothesis testing, interval estimation etc.) linear algebra and probability. Familiarity with Python or any programming language is required. Assignments/application projects which require programming will be done using the Python programming language.

Einrichtungen (1)
Wo und wann
Beginn Lage
nach Wahl
Online
Beginn nach Wahl
Lage
Online

Was lernen Sie in diesem Kurs?

Executive
Database Design
Approach
Database
SQL
Database training
Data analysis
Data Protection
Statistics
Data Collection
Engineering
Data Management
Python
Data Structures
Machine Learning
Classification
Exploratory Data Analysis
Statistical distributions
Database Formats
Machine Learning Methods

Themenkreis

SYLLABUS

TOOLS & DATA MANAGEMENT
Module 1 - PYTHON BASICSTranslating Procedures into Code
Module 2 - INTERMEDIATE PYTHONIntroduction to Data Structures
Module 3 - RELATIONAL DATABASESWhere (most) data is stored
Module 4 - SQLUbiquitous database formats/languages
STATISTICS & EXPLORATORY DATA ANALYSIS
Module 5 - STATISTICAL DISTRIBUTIONSThe Shape of Data
Module 6 - SAMPLINGWhen you don’t have all the data
Module 7 - HYPOTHESIS TESTINGAnswering questions about your data
Module 8 - DATA ANALYSIS & VISUALIZATIONUsing Python’s NumPy for analysis
Module 9 - DATA ANALYSIS & VISUALIZATIONUsing Python’s Pandas for data wrangling
FUNDAMENTALS OF MACHINE LEARNING
Module 10 - TEXT MININGAutomatic Understanding of Text
Module 11 - REGRESSION & CLASSIFICATIONMachine learning methods for prediction
Module 12 - CLUSTERING & DECISION TREESMachine learning methods for representation