<p><div><div><div><div data-width="100" data-show-faces="false" data-send="true" data-layout="button_count" data-height="21" data-href="https://www.r-bloggers.com/data-science-101-now-online/"></div></div><div><a data-url="https://www.r-bloggers.com/data-science-101-now-online/" data-counturl="https://www.r-bloggers.com/data-science-101-now-online/" data-count="horizontal" data-text="Data Science 101, now online" class="twitter-share-button" data-via="rbloggers" href="https://twitter.com/share"></a></div><div></div></div><div></div></div>
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(This article was first published on <strong><a href="http://ekonometrics.blogspot.com/2016/09/data-science-101-now-online.html"> eKonometrics</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
<div dir="ltr">We are delighted to note that IBM’s <a target="_blank" href="http://bigdatauniversity.com/">BigDataUniversity.com</a> has launched the quintessential introductory course on data science aptly named <a target="_blank" href="https://bigdatauniversity.com/courses/data-science-101/">Data Science 101.</a>
<p>The target audience for the cours<span>e is th</span>e uninitiated cohort that is curious about data science and would like to take the baby steps to a career in data and analytics. Needless to say, the course is for absolute beginners.</p>
<p>To get a taste of the course, watch the following video “<a target="_blank" href="https://www.youtube.com/watch?v=z1kPKBdYks4">What is Data Science?</a></p>
<div><iframe height="266" data-thumbnail-src="https://i.ytimg.com/vi/z1kPKBdYks4/0.jpg" width="320" allowfullscreen src="https://www.youtube.com/embed/z1kPKBdYks4?feature=player_embedded"></iframe></div>
<p><b>Here is the curriculum:</b></p>
<ul>
<li><span>Module 1 – Defining Data Science</span>
<ul>
<li><span>What is data science?</span></li>
<li><span>There are many paths to data science</span></li>
<li><span>Any advice for a new data scientist?</span></li>
<li><span>What is the cloud?</span></li>
<li><span>“Data Science: The Sexiest Job in the 21st Century”</span></li>
</ul>
</li>
<li><span>Module 2 – What do data science people do?</span>
<ul>
<li>A day in the life of a data science person</li>
<li>R versus Python?</li>
<li>Data science tools and technology</li>
<li>“Regression”</li>
</ul>
</li>
<li><span>Module 3 – Data Science in Business</span>
<ul>
<li>How should companies get started in data science?</li>
<li>R versus Python</li>
<li>
<div><span>Tips for recruiting data science people</span></div>
</li>
<li>
<div><span>“The Final Deliverable”</span></div>
</li>
</ul>
</li>
<li><span>Module 4 – Use Cases for Data Science</span>
<ul>
<li>Applications for data science</li>
<li>“The Report Structure”</li>
</ul>
</li>
<li><span>Module 5 -Data Science People</span>
<ul>
<li>Things data science people say</li>
<li>“What Makes Someone a Data Scientist?”</li>
</ul>
</li>
</ul>
<p>Want to learn more about IBM’s Big Data University, <a target="_blank" href="https://bigdatauniversity.com/about-us/">Click HERE</a>.</p>
</div>
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<div>To <strong>leave a comment</strong> for the author, please follow the link and comment on their blog: <strong><a href="http://ekonometrics.blogspot.com/2016/09/data-science-101-now-online.html"> eKonometrics</a></strong>.</div>
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