Search result for Introduction to data science in python Online Courses & Certifications
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Studying Cities: Social Science Methods for Urban Research
by Laura Neijenhuis , Jan Fransen , Dorcas Nthoki , Rick Wolff , Maria Zwanenburg- 4.7
Approx. 7 hours to complete
Are you looking to learn more about how to conduct scientific research, specifically in an urban or local context? Introduction to Week Testimonial 1 - Introduction to Julia's research Introduction to Studying Cities: Social Science Methods for Urban Research Introduction to Research Strategies Hanna's Testimonial: Researching commuting to work by bicycle in Rotterdam. Qualitative Data Analysis: Introduction to Coding...
Data Manipulation at Scale: Systems and Algorithms
by Bill Howe- 4.3
Approx. 20 hours to complete
Data analysis has replaced data acquisition as the bottleneck to evidence-based decision making --- we are drowning in it. The abstractions that emerged in the last decade blend ideas from parallel databases, distributed systems, and programming languages to create a new class of scalable data analytics platforms that form the foundation for data science at realistic scales....
Distributed Computing with Spark SQL
by Brooke Wenig , Conor Murphy- 4.5
Approx. 14 hours to complete
It’s for students with SQL experience that want to take the next step on their data journey by learning distributed computing using Apache Spark. Students will gain an understanding of the fundamentals of data analysis using SQL on Spark, setting the foundation for how to combine data with advanced analytics at scale and in production environments....
Tensorflow Deep Learning - Data Science in Python
by Minerva Singh- 4.6
7 hours on-demand video
THIS IS A COMPLETE DATA SCIENCE TRAINING WITH TENSORFLOW IN PYTHON! By storing, filtering, managing, and manipulating data in Python and Tensorflow, you can give your company a competitive edge and boost your career to the next level. Many courses use made-up data that does not empower students to implement Python based data science in real -life....
$12.99
Data Analytics Foundations for Accountancy II
by Robert Brunner- 4.8
Approx. 70 hours to complete
Welcome to Data Analytics Foundations for Accountancy II! I'm excited to have you in the class and look forward to your contributions to the learning community. Module 1: Introduction to Machine Learning Introduction to Module 1 Introduction to Machine Learning Introduction to Linear Regression Introduction to k-nn Introduction to Module 2...
Predictive Modeling and Machine Learning with MATLAB
by Heather Gorr , Michael Reardon , Maria Gavilan-Alfonso , Brandon Armstrong , Brian Buechel , Isaac Bruss , Matt Rich , Nikola Trica , Adam Filion , Erin Byrne , Sam Jones- 4.7
Approx. 22 hours to complete
In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB and Data Processing and Feature Engineering with MATLAB to increase your ability to harness the power of MATLAB to analyze data relevant to the work you do. Introduction to the Taxi Data Introduction to Regression...
Data Science in Real Life
by Brian Caffo, PhD , Jeff Leek, PhD , Roger D. Peng, PhD- 4.4
Approx. 7 hours to complete
Have you ever had the perfect data science experience? This is a focused course designed to rapidly get you up to speed on doing data science in real life. 1, Describe the “perfect” data science experience Data science in the ideal versus real life Part 1 Data science in the ideal versus real life Part 2...
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Advanced Data Science Capstone
by Romeo Kienzler- 4.6
Approx. 9 hours to complete
This project completer has proven a deep understanding on massive parallel data processing, data exploration and visualization, advanced machine learning and deep learning and how to apply his knowledge in a real-world practical use case where he justifies architectural decisions, proves understanding the characteristics of different algorithms, frameworks and technologies and how they impact model performance and scalability....
Applied Data Science for Data Analysts
by Kevin Coyle , Mark Roepke , Emma Freeman- 4.2
Approx. 16 hours to complete
In this course, you will develop your data science skills while solving real-world problems. You'll work through the data science process to and use unsupervised learning to explore data, engineer and select meaningful features, and solve complex supervised learning problems using tree-based models. Data Science Process vs. Introduction to Hyperparameters Introduction to Cross-Validation...
Intro to Data Science Using Python: Your Best Starting Point
by Ali Desoki- 4.2
2 hours on-demand video
Learn About Data Science And Machine Learning Using Python To Start Your Career In Those Fields. Welcome to “Introduction to Data Science Using Python” where you will set a good foot in the fields of Data Science and Machine Learning. Introduction to Data Science All you need to know is Python and basic statistics to start this course....
$12.99