Search result for Trends in data science Online Courses & Certifications
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Statistical Inference
by Brian Caffo, PhD , Roger D. Peng, PhD , Jeff Leek, PhD- 4.2
Approx. 54 hours to complete
There are many modes of performing inference including statistical modeling, data oriented strategies and explicit use of designs and randomization in analyses. A practitioner can often be left in a debilitating maze of techniques, philosophies and nuance. Course Book: Statistical Inference for Data Science Data Science Specialization Community Site Practical R Exercises in swirl 1...
Positioning: What you need for a successful Marketing Strategy
by Ignacio Gafo- 4.5
Approx. 11 hours to complete
The course progresses to examine the key market trends that you will encounter and will provide you with a handy practical toolbox of skills. 2 Positioning as a key element in the marketing process Marketing in the age of fragmentation 9 Key trends impacting Positioning (2/2) Consumers in 2016: Generation swipe Can big data and analysis replace intuition?...
Machine Learning for Data Analysis
by Jen Rose , Lisa Dierker- 4.2
Approx. 10 hours to complete
Are you interested in predicting future outcomes using your data? Strengths and Weaknesses of Decision Trees in SAS Course Data Sets Uploading Your Own Data to SAS Data Set for Decision Tree Videos (tree_addhealth. CART Paper - Prevention Science The HPForest Procedure in SAS Data Management for Lasso Regression in Python...
Introduction to the Digital Advertising Landscape
by Chris J. Vargo , Harsha Gangadharbatla- 4.5
Approx. 14 hours to complete
Consumer data and the ad tech that action on that data are both ubiquitous and complicated. In all, this course leaves students with an understanding of digital advertising in its various forms, and how to strategically identify digital advertising opportunities. Â Eleven companies that are doing mobile advertising right in 2019 Identify key digital advertising types in digital advertising...
The Complete Data Science Project Management Course
by HiTech Squad- 3.5
1.5 hours on-demand video
There are lot of steps involved in preparing a data-set which would be suitable for achieving the business goal of the data science project. In this course, we are going to take a broader look and identify how each activity of CRISP-DM fits together towards achieving business outcomes of a data science project....
$11.99
Introduction to Machine Learning Course
by Katie Malone , Sebastian Thrun- 0.0
Timeline Approx. 10 Weeks
This class will teach you the end-to-end process of investigating data through a machine learning lens. Implement a mini project where you identify the authors in a body of emails using a decision tree in Python. Apply your knowledge on the Enron Finance Data to find clusters in a real dataset....
Free
Analyzing Data with Python
by Joseph Santarcangelo- 0.0
5 Weeks
In this course, you will learn how to analyze data in Python using multi-dimensional arrays in numpy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and perform machine learning using scikit-learn! LEARN TO ANALYZE DATA WITH PYTHON Learn how to analyze data using Python in this introductory course....
$99
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Complete Data Science Training with Python for Data Analysis
by Minerva Singh- 4.2
13 hours on-demand video
Many courses use made-up data that does not empower students to implement Python-based data science in real life. (d) Students will get a strong background in some of the most important data science techniques. Python Data Science - Become Proficient In Using The Most Common Python Data Science Packages Including Numpy, Pandas, Scikit & Matplotlib...
$9.99
Cybersecurity Capstone: Breach Response Case Studies
by IBM Security Learning Services- 4.8
Approx. 16 hours to complete
You will explore in depth several past and recent breaches to learn how they were detected and what was done or could have been done to reduce the threat risk to the organization. In this course, you will learn to: â—Ź Research and describe a point of sale attack and approximate cost of data breaches. Emerging Trends in Ransomware...
Data Storage and Processing
by Natalia Grafeeva , Elena Mikhailova , Olga Egorova , Anton Boitsev- 0.0
5 Weeks
Master the culture of data representation, interpretation and outcomes evaluation. We will start with data types and sources, methods of data preparation: cleaning, filling in the missing values, data smoothing and normalization. Initial data processing (data cleaning and filling in the missing values) Data smoothing and normalization Data visualization Data storage and access by means of relational DBMS...
$149