4 Courses and Certifications

Free Data Science With Python Courses & Certifications

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Data Science for Construction, Architecture and Engineering

Offered by

NUS via Edx
Certificate

Data Science for Construction, Architecture and Engineering

The need for smart analytics tools in the fields of architecture, construction, and the building industry is increasing as data sources that influence inhabitants' welfare, and the built environment's energy performance are blowing up in numbers. The Data Science for Construction, Architecture, and Engineering online course is developed to annex novel techniques and abilities to complement spreadsheets.

The Data Science for Construction, Architecture, and Engineering course centres on teaching data science skills to practitioners explicitly in the built environment industry. You will be introduced to data science while considering the background of various phases of the building life cycle. You will also gain exposure to several educational paths for a multitude of built environment-related functions.

During the time you spend learning the Data Science for Construction, Architecture, and Engineering digital course concepts, you will utilise substantial data sets from construction and design to study and apply data science methods. There are two modes to take this programme, certificate and free mode. In the free audit mode, the candidates will get access only for a limited duration. 

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7 Weeks
Beginner
Free
Skills Covered:
Data science knowledge Knowledge of Python Machine learning Statistical skills Programming skills Knowledge of Data Visualization Designing skills
Python for Data Science

Offered by

Certificate

Python for Data Science

Data Science has enabled many industries and organisations to make better business decisions by providing useful insights and information. Hence, this exciting branch of science can be used to test new techniques, theories and models. Python for Data Science online programme is an undergraduate-level course that falls under Computer Science and Engineering, Artificial Intelligence and Data Science categories.

The Python for Data Science course curriculum has been curated by the prestigious IIT Madras faculty and delivered by Prof. Ragunathan Rengasamy. Also, the certification has been designed as a four-week-long course that will be divided into several modules. It will teach you the basics of the Python programming language and how it can be used to solve data science problems.

Furthermore, the course will equip you with skills to use Python and data science which are extremely important and valuable today. You will learn through video lectures and will be given regular weekly assignments during the tenure. When you finish all the modules in the Python for Data Science certification course, you further obtain a certificate by qualifying the eligibility criteria.

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4 Weeks
Free
Skills Covered:
Knowledge of Python Data science knowledge Knowledge of Numpy Visualisation skills
Introduction to Statistics for Data Science using Python

Offered by

IBM via Edx
Python for Data Science Bootcamp

Offered by

Certificate

Python for Data Science Bootcamp

Python for Data Science Bootcamp certification course is created by Board Infinity, an online educational network aimed at working professionals and participants that would help them grow and thrive by enabling them to function efficiently. The Python for Data Science Bootcamp online course by Board Infinity is for participants who want to learn the fundamentals of Python programming for data science to become certified data scientists.

Python for Data Science Bootcamp online classes is a self-paced training program that includes over 1.5 hours of video lectures, case studies, assignments, and projects to help participants gain a thorough understanding of technologies such as Anaconda, Numpy, Pandas, Jupyter, Matplotlib, and Seaborn, as well as Python concepts such as arrays, lists, and data frames. Participants will be able to develop their Python scripts to undertake basic data analysis in a Jupyter-based simulated environment by the end of this training program.

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Beginner
Free
Skills Covered:
Data science knowledge Knowledge of Python Knowledge of Numpy

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