7 Courses and Certifications

Free Data Science With Python Courses & Certifications

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Specialization
Job Role
Skills
Python for Data Science

Offered by

Certificate

Python for Data Science

Python for Data Science certification will be guiding the students to learn about the topics of- python tools and open source including the concerts of git, pandas, matplotlib, and others. This program is a part of the series program under “Data Science MicroMasters” Here the students will be specifically learning to use- git, matplotlib, NumPy, pandas, Jupyter notebooks, and pythons. The tools will be learned by the students so that they can use them in solving complex algorithms and data science problems easily. Once the candidate completes Python for Data Science training they will be learning to find solutions within large datasets by the usage of Python tools for importing data, exploring the data, analyzing the data, learning from it, and lastly visualizing the given data. 

The course will help the students to formulate easily shareable reports. Python for Data Science certification course will make the students a part of their worldwide community of data scientists who are working in the field of “data science”. Two different tracks are available on edX which may be opted for by the students to complete the course. Both the tracks are self-paced but during the verified track, the candidates may access the course for a lifetime by paying some fee. To access the audit track, nothing is charged but the materials will only be accessible for a limited period.

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10 Weeks
Expert
Free
Skills Covered:
Knowledge of Numpy
Probability and Statistics in Data Science using Python

Offered by

Certificate

Probability and Statistics in Data Science using Python

Probability and Statistics in Data Science using Python by edX will be helping students to learn about the probabilistic and statistical approaches that pertain to data science using the tool Python. The course is a part of the “Data Science MicroMasters program” and will be dealing with mathematical theories in detail. Probability and Statistics in Data Science using Python certification course will be covering concepts like- dependence, PCA, regression, correlation, entropy, variables, and MDL. 

The course will also make the student's foundation in statistics and probability more strong. They will be learning to apply the theory of Jupiter in their course. Probability and Statistics in Data Science using Python training will further help the candidates enhance their skills in the subject of “Data Analysis and statistics''. Throughout the course, they will be guided by the experts and allowed to pursue the cases on their own time. By dedicating 10-12 hours every week the participants can very easily complete their course. Two different tracks are available on edX which may be opted for by the students to complete the course. Both the tracks are self-paced but during the verified track, the candidates may access the course for a lifetime by paying some fee. To access the audit track, nothing is charged but the materials will only be accessible for a limited period.

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10 Weeks
Expert
Free
Skills Covered:
Statistical skills
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
05 July 2024 - 30 December 2024
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 Basics for Data Science

Offered by

IBM via Edx
Certificate

Python Basics for Data Science

Python programming and data science are highly valuable and in-demand skills. Top companies use Data Science and analysis to interpret data and make critical business decisions. Python Basics for Data Science by edX will delve into data science using Python. As this is a beginner-level course, you will learn about Python language from scratch and do not have to be a programmer.

The Python Basics for Data Science certification is a free programme that falls under the Data Analysis and Statistics category and will run for five weeks. It will enable you to learn at your own schedule and pace through video content. By the end of the training course, you will be adept at using Python language to create data science projects and be ready to collaborate with Data scientists. 

Enrol in the edX Python Basics for Data Science programme and gain basic knowledge of machine learning, programming, and data visualisation. You can also earn a sharable verified course certificate after completing the course if you took the course in the verified track by paying the fee. In the free track, you can audit the programme for a limited duration. 

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3 Weeks
Beginner
Free
Skills Covered:
Data science knowledge Knowledge of Python
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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