Search result for Probability and Statistics Online Courses & Certifications
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Data Science and Machine Learning with Python and Libraries
by The Data X Startup- 4.3
7 hours on-demand video
Learn Data Science and Machine Learning with Python and Libraries such as Numpy, Matplotlib, Pandas and much more Data science uses complex tools and statistics and analyzes data based on past or current to forecast the future trends. A data scientist requires to be adept in statistics and mathematics to be able to analyze and process data properly....
$11.99
Python and Statistics for Financial Analysis
by Xuhu Wan- 4.4
Approx. 13 hours to complete
Due to python’s simplicity and high readability, it is gaining its importance in the financial industry. The course combines both python coding and statistical concepts and applies into analyzing financial data, such as stock data. Visualizing and Munging Stock Data Random variables and distribution 1 Outcomes and Random Variables 2 Frequency and Distributions...
Data Science with Python Course : Hands-on Data Science 2020
by Ankit Mistry- 4.3
15.5 hours on-demand video
Welcome to Complete Ultimate course guide on Data Science and Machine learning with Python. "learning valuable concepts and feeling great. "Good explanation, I have laready used two online tutorials on data -science and this one is more step by step, but it is good" Data Science Prerequisite : Basics of Probability and statistics...
$12.99
Capstone Exam in Statistics and Data Science
by Regina Barzilay , Esther Duflo , Sara Fisher Ellison , Tommi Jaakkola- 0.0
2 Weeks
Solidify and demonstrate your knowledge and abilities in probability, data analysis, statistics, and machine learning in this culminating assessment. -- Final Requirement of the MITx MicroMasters Program in Statistics and Data Science. This capstone exam is the final part of the MITx MicroMasters Program in Statistics and Data Science....
$300
Data for Machine Learning
by Anna Koop- 4.4
Approx. 12 hours to complete
This course is all about data and how it is critical to the success of your applied machine learning model. , be able to read and code trace existing code, be comfortable with conditionals, loops, variables, lists, dictionaries and arrays). You should have a basic understanding of linear algebra (vector notation) and statistics (probability distributions and mean/median/mode)....
Data Analytics for Lean Six Sigma
by Inez ZwetslootTop Instructor- 4.8
Approx. 11 hours to complete
At the end of this course you are able to analyse and interpret data gathered within such a project. I hope that you enjoy this course and good luck! Data and Lean Six Sigma M1-V2 Data and DMAIC M1-V4 Units and operational definition Practice quiz - Data and Lean Six Sigma...
Combinatorics and Probability
by Alexander S. Kulikov , Владимир Подольский- 4.6
Approx. 21 hours to complete
One of the main `consumers’ of Combinatorics is Probability Theory. This area is connected with numerous sides of life, on one hand being an important concept in everyday life and on the other hand being an indispensable tool in such modern and important fields as Statistics and Machine Learning. Fair Decisions and Imperfect Coins...
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Optimizing Machine Learning Performance
by Anna Koop- 4.6
Approx. 12 hours to complete
You will understand and analyze how to deal with changing data. You should have a basic understanding of linear algebra (vector notation) and statistics (probability distributions and mean/median/mode). This is the final course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute (Amii). Understanding and Communicating Change...
Exploratory Data Analysis for Machine Learning
by Mark J Grover , Miguel Maldonado- 4.6
Approx. 8 hours to complete
This first course in the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content of the professional certificate. This course targets aspiring data scientists interested in acquiring hands-on experience with Machine Learning and Artificial Intelligence in a business setting. A Brief History of Modern AI and its Applications Inferential Statistics and Hypothesis Testing...
Modern Deep Convolutional Neural Networks with PyTorch
by Denis Volkhonskiy- 4.2
2 hours on-demand video
Advanced techniques for Deep Learning and Representation learning Dear friend, welcome to the course "Modern Deep Convolutional Neural Networks"! I tried to do my best in order to share my practical experience in Deep Learning and Computer vision with you. Matrix calculus, Linear Algebra, Probability theory and Statistics Basics of Machine Learning: Regularization, Linear Regression and Classification,...
$11.99