1557 Courses and Certifications

Online Programming And Development Courses & Certifications

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Certificate

Analyze Financial Data with Python

The Analyze financial data with Python online course prepares applicants for a data analytics role in the finance industry. Students will learn the fundamentals of Python programming, which will be used to process and analyse financial data. After the course, you will become proficient in using Python for data analysis. 

Furthermore, Codecademy’s Analyze financial data with Python certification course caters to individuals who want to learn quantitative finance and build a portfolio with Python. Since this is a beginner-friendly course, you can quickly learn through step-by-step guidance. You can gain a new skill quickly through hand-picked and well-curated content.

Additionally, the Analyze financial data with Python programme concludes with a capstone project to test your programming and financial skills. You can also obtain a certificate on completion to enhance your qualifications and employability.

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Beginner
Skills Covered:
Knowledge of Data Visualization Knowledge of Numpy

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Certificate

Machine Learning, Data Science and Deep Learning with Python

The Machine Learning, Data Science, and Deep Learning with Python online course is a 15.5 hours on-demand course provided by Udemy. The course teaches about Keras and Tensorflow that are used to create artificial neural networks. The course also teaches about deep learning that may be used to classify data, pictures, and feelings.

Machine Learning, Data Science, and Deep Learning with Python training teachers to use linear regression, multivariate regression, and polynomial regression to make predictions. The course teaches about Seaborn and MatPlotLib that are used to visualize data. Candidates will learn to deploy machine learning at a huge scale with Apache Spark's MLLib.

The Machine Learning, Data Science, and Deep Learning with Python syllabus covers the use of Support Vector Machines (SVM), K-Means clustering, KNN, Naive Bayes, PCA, and Decision Trees to classify data. The course teaches to develop a movie recommendation system that combines user-based and item-based collaborative filtering.

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4,999
Skills Covered:
Machine learning Data science knowledge Knowledge of deep learning

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Certificate

Natural Language Processing with Deep Learning in Python

Natural Language Processing with Deep Learning in Python online certification was created by Lazy Programmer Inc., Artificial Intelligence and Machine Learning Engineer, Lazy Programmer Team, and is offered through Udemy Inc. which is an online learning platform, that helps individuals progress in their careers.

Natural Language Processing with Deep Learning in Python online course will teach how the GloVe method uses matrix factorization to find word vectors, using recurrent neural networks to solve natural language processing problems such as part-of-speech tagging and named entity recognition, as well as gain an understanding of how neural networks solve almost any problem, and how to use recursive neural networks to solve the sentiment analysis negation problem

Natural Language Processing with Deep Learning in Python online training is designed for individuals who are familiar with programming and have some experience in it as this course comes with prerequisites such as calculus, matrix addition, multiplication, probability, python coding, Numpy coding, neural networks and backpropagation, gradient descent algorithms, coding feedforward neural network in Theano or TensorFlow, coding recurrent neural network / LSTM / GRU in Theano or TensorFlow, tree algorithms. The interested learners could enrol on the course by paying the fee. 

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2,999
Skills Covered:
Natural Language Processing Knowledge of Python Knowledge of deep learning

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Certificate

Advanced AI: Deep Reinforcement Learning in Python

Advanced AI: Deep Reinforcement Learning in Python certification course is designed by Lazy Programmer Inc. - artificial intelligence and machine learning engineer and its team which is presented by Udemy, an online learning platform, to assist students to succeed in their occupations.

Advanced AI: Deep Reinforcement Learning in Python online course focuses on the use of deep learning and neural networks in reinforcement learning. The course will teach about the TD Lambda algorithm to deepen the understanding of temporal difference learning, and a particular variety of neural networks called the RBF network, policy gradient method, and deep Q-Learning (DQN), and asynchronous advantage actor-critic (A3c).

Advanced AI: Deep Reinforcement Learning in Python syllabus is designed for individuals who are familiar with programming as this course comes with prerequisites such as college-level calculus, probability, object-oriented programming, python coding, Numpy coding, linear regression, gradient descent, writing ANNs and CNNs in Theano or TensorFlow, Markov decision processes (MDPs) and implement dynamic programming, Monte Carlo, and temporal difference learning to solve MDPs. The interested learners could enrol on the course by paying the fee. 

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1,199
Skills Covered:
Machine learning Knowledge of Python Knowledge of Artificial Intelligence

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Certificate

Deep Learning: Recurrent Neural Networks in Python

Deep Learning: Recurrent Neural Networks in Python online certification is a compelling course presented by an inspiring instructor. The cases are well-chosen, demonstrating foundations through fun, creative projects rather than lecturing on abstract concepts. The course is created by Lazy Programmer Inc. - Artificial intelligence and machine learning engineer and presented by Udemy, an ed-tech organization based in the United States that supports students with the greatest and most up-to-date skills through online courses in more than 180 countries.

As the Deep Learning: Recurrent Neural Networks in Python online training involves complex concepts, candidates should have prior knowledge of the following topics to get the most out of the course: matrix addition, multiplication, basic probability, python coding, Numpy coding, matrix, and vector operations, loading a CSV file. The course also provides 12 hours of prerecorded English lectures and an article for understanding the topics at their own pace.

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3,999
Skills Covered:
Machine learning Knowledge of Python Knowledge of deep learning

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Certificate

Deep Learning with Python and Keras

Deep Learning with Python and Keras online course is a short-term course developed by Data Weekends - Learn the essentials of Data Science in just one weekend, Jose Portilla - Head of Data Science, Pierian Data Inc., Instructor and presented by Udemy Inc., an ed-tech firm aimed at providing of online courses for professionals and beginners across 180 countries.

Deep Learning with Python and Keras certification course is intended to give you a thorough understanding of Deep Learning. The course is designed for Python beginners and intermediate programmers and data scientists who want to learn how to apply Deep Learning methods to a variety of situations.

Deep Learning with Python and Keras online training focuses on providing learners with firm ground, not just in theory, but also in coding. Learners will be taught to detect issues that can be solved using Deep Learning, develop a range of Neural Network models, and use cloud computing to boost the training and enhance their performance. 

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3,999
Skills Covered:
Data science knowledge Knowledge of Python Knowledge of deep learning

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Certificate

A deep understanding of deep learning (with Python intro)

A deep understanding of deep learning (with Python intro) course is an online programme on deep learning developed by Mike X Cohen, a Neuroscientist, writer and professor. The short certificate programmes help the students to gain the fundamental knowledge of deep learning required to explore advanced and new deep learning concepts and theories. The course curriculum will walk the participants through Math, NumPy, PyTorch, Autoenncoders, Data types and many more aspects of deep learning. 

A deep understanding of deep learning (with Python intro) online course, offered by Udemy, is open for all the folk who are interested to learn deep learning and does not demand any kind of prior experience or knowledge; rather, the course will kick start the concepts including Python, Pytorch etc from the scratch. The students will go through the process of creating artificial neural networks and building models in PyTorch and will master codes of gradient descent and calculus. 

The learners will also get practical exposure through A deep understanding of deep learning (with Python intro) certification with many experiences and practical examples etc. Udemy will confer the participants a certificate of completion at the end opening up plenty of opportunities in the field of deep learning that is widely used in many industries such as self-driving cars, medical diagnosis and whatnot. Those who are looking forward to trying a hand in deep learning can join the programme by making the payment.

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3,499
Skills Covered:
Knowledge of deep learning Knowledge of Python Mathematical skill Knowledge of Numpy

Offered by

Certificate

Data Science: Deep Learning and Neural Networks in Python

Data Science: Deep Learning and Neural Networks in Python online certification are developed by Lazy Programmer Inc., artificial intelligence and machine learning engineer, and offered by Udemy Inc., a US-based online learning platform to help individuals boost their careers. The course is designed for individuals who are interested in mastering their skills in deep learning, machine learning, and data science. 

Data Science: Deep Learning and Neural Networks in Python online course will teach the learners to use deep learning techniques to create their artificial neural network,  fundamental building blocks of neural networks, and use Python and Numpy to create full-fledged non-linear neural networks right away. 

Data Science: Deep Learning and Neural Networks in Python online training are focused on the professionals with a background in programming as the course come with some prerequisites such as knowledge of calculus (taking derivatives), matrix arithmetic, probability, python coding, NumPy coding, linear regression, and logistic regression. candidates can also avail discounts at the time of checkout, if available. 

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4,299
Skills Covered:
Machine learning Data science knowledge Knowledge of deep learning

Offered by

Certificate

Data Science with R and Python | R Programming

Python offers a more open-ended approach to data science, whereas R programming is mostly utilized for statistical research. Data analysis and statistics are the main goals of R programming, whereas production and deployment are the main goals of Python. Data Science with R and Python | R Programming certification course is developed by Oak Academy, a learning management system that also offers courses in IOS, Android, Ethical Hacking, IT, Web & Mobile Development, and is made available by Udemy.

Data Science with R and Python | R Programming online course involves 13 hours of prerecorded lectures accompanied by 4 articles and 9 downloadable resources, which is designed for the participants who wish to become certified data scientists by learning the features of Python and R programming. Data Science with R and Python | R Programming online training explains the topics like data visualization, data munging, data analysis, data manipulation, business analytics, data transformation, data frames, Pandas, Numpy, Matplotlib, and more.

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2,999
Skills Covered:
Data science knowledge Knowledge of Python Business analytics knowledge Programming skills R Programming Knowledge of Data Visualization Knowledge of Numpy Knowledge of Big Data Machine learning Financial knowledge

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Certificate

Data Analysis using Python and R for Absolute Beginner.

Both Python and R are fantastic languages for performing data analysis. Additionally, they are both excellent for those who have never programmed before. Fortunately, there are a variety of resources and materials available to assist people along the path, regardless of whatever language they decide to learn originally. Piyush S, a data scientist, engineer, and project manager, designed the Data Analysis using Python and R for Absolute Beginner[2022] online certification, which is provided by Udemy.

Data Analysis using Python and R for Absolute Beginner[2022] online classes incorporates more than 12.5 hours of detailed lectures supported by articles, 36 downloadable resources, assignments, and case studies on bank marketing, uber supply demand, car datasets, and more. Data Analysis using Python and R for Absolute Beginner[2022] online training provides a deeper comprehension of the fundamentals of Python and R programming for data analysis operations, which also covers topics like data visualization, exploratory data analysis, website scraping, data extraction, and data cleaning.

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Beginner
3,499
Skills Covered:
Data science knowledge Knowledge of Python R Programming Knowledge of Numpy Knowledge of Data Visualization

Offered by

Certificate

Machine Learning & Deep Learning in Python & R

The Machine Learning & Deep Learning in Python & R certification course was created by Start-Tech Academy and is available on Udemy for candidates searching for a comprehensive machine learning and deep learning training program that will help them start a successful career in the fields of data science, deep learning, machine learning, Python, or R programming. The Machine Learning & Deep Learning in Python & R online course provides the methodologies for creating predictive models in R programming and Python to address business challenges and establish a business strategy.

Machine Learning & Deep Learning in Python & R online classes by Udemy contains 33 hours of HD video lectures as well as 5 articles covering subjects such as decision trees, KNN logistic regression, random forest, SVM, linear discriminant analysis, data collecting, and data preprocessing. This course also includes a portion that discusses all of the actions that should be taken when solving a business problem using a linear regression model.

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4,099
Skills Covered:
Knowledge of Python R Programming Machine learning Knowledge of deep learning
Certificate in Quantitative Financial Programming with R

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Certificate

Certificate in Quantitative Financial Programming with R

Quantitative Financial Programming with R certification will teach the candidates to identify and analyze securities and financial markets of the industry. This certification will teach the candidates about data analysis using the R language, fixed income securities, derivatives, risk return analysis, the CAMP model and portfolio risk management. Quantitative Financial Programming with R programme imparts knowledge on a lot of other aspects of quantitative finance. 

This includes Performance Analytics for Risk Management, Risk Factors, Portfolio Analytics, Working with Futures, Interest Rates, Financial Modeling with R, R Functions and Packages etc. This certification is generally for job seekers looking to find employment in software development, or IT departments of various finance companies.

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3,499
Skills Covered:
Programming skills Financial knowledge Knowledge of CAPM

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Certificate

Automation with Bash Shell Scripting

Automation with Ansible Playbooks online course is designed for application or automation engineers who have a few years of experience administering various infrastructure components such as operating systems, application configurations, and deployments. The course also focuses on individuals who wish to manage system and application configurations quickly and automatically while learning as quickly as possible.

Automation with Ansible Playbooks certification course is created by Narendra P - Software Engineer, Automation Expert & Instructor and offered by Eduonix, an online learning platform focused on providing users with digital learning courses. Individuals must have a fundamental understanding of Unix-based systems, as Ansible is an open-source software accessible for Linux-based systems, as well as knowledge of any cloud or VMware to create servers for practice, and optionally some programming skills to develop their own modules.

Automation with Ansible Playbooks online training includes 12.66 hours of pre-recorded video content in the form of 69 separate lectures. The course is broken into three parts since mastering automation with Ansible and playbook is a step-by-step process. Part 1 teaches about the basics of Ansible and how to deploy it, Part 2 about implementing Ansible Playbooks, and Part 3 about designing your own modules and implementing Ansible Playbooks for the AWS cloud.

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600
Skills Covered:
Automation skills
MATLAB and Simulink Hands-on

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Certificate

MATLAB and Simulink Hands-on

MATLAB and Simulink Hands-on program is an online course by the E&ICT Academy, IIT Kanpur. This training will introduce learners to MATLAB programming and Simulink and cover important MATLAB topics such as arrays, variables, matrices, regional operators, If statements, arithmetic operators, matrix operations, and MATLAB Graphics.

The MATLAB and Simulink Hands-on online course teaches learners about Simulink’s operating principle and management and gives them a practical learning experience with Simulink exercises. Students will construct a Simulink Block Diagram and determine parameters for Simulink Blocks. Other Simulink topics such as Product, Gain, Mux, and Demux Blocks are also the curriculum’s focal points, enabling course-takers to gain immense fluency in these areas.

Furthermore, the MATLAB and Simulink Hands-on certification syllabus involves a MATLAB/Simulink project to conclude the course. This will help learners apply their knowledge and combine theoretical learning with practical applications. Additionally, all successful participants of this program will receive a completion certificate after the final assessment.

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5,000
Skills Covered:
Knowledge of MATLAB
Zero to Hero in MATLAB

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Certificate

Zero to Hero in MATLAB

The Zero to Hero in MATLAB training is a six-week online course designed to impart practical knowledge among engineering students. The high-quality and updated study material emphasizes the importance of using MATLAB for complex models and design systems. The syllabus is designed after understanding the need for practical knowledge in an academic setting.

The Zero to Hero in MATLAB online course teaches educators how to bridge the gap between providing real-life examples and capturing their students' attention. Besides, using MATLAB is recommended because of its widespread industry-related usage, and it teaches how to apply theoretical knowledge. Educators can also teach their students how a whole project and problem-solving is related to the theoretical concepts by using examples of large-scale models. 

The Zero to Hero in MATLAB certification syllabus also includes variables and assignment statements, operators, loops, relational expressions, several debugging techniques, and MATLAB program organization. Furthermore, candidates can receive a valued and verified certificate after submitting the in-course assignments and fulfilling the final exam's eligibility criteria.

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4,237
Skills Covered:
Knowledge of MATLAB

Offered by

Certificate

SAS Training and Certification

As a learner of the SAS Training and certification online course, you will become adept at writing SAS code and analyzing real problems. Edureka has built the course curriculum to specifically teach concepts and develop skills of SAS Programming language, leading statistical techniques and several tools that are important for a successful Analytical professional.

The techniques taught in the SAS Training and certification course can be used to become an advanced SAS programmer. The training includes several practical learning exercises with a series of interactive activities to impart a lasting learning experience on the student.

Moreover, the candidates will learn a wide range of topics such as ‘Set and merge statements’, SAS arrays, useful SAS functions, Advanced SAS procedures, data optimization, PROC, clustering, data sorting and much more. In addition to learning theory, candidates will also get hands-on experience on various SAS topics.

The SAS Training and certification live online course prepares the students for the following certifications: SAS Certified Base Programmer for SAS 9 and SAS Certified Advanced Programmer for SAS 9.

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9,999
Skills Covered:
Programming skills Data science knowledge

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Certificate

Programming in SAS for beginners

Beginner
3,499

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Certificate

Complete SAS Bootcamp

2,299

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