Useful links to start a Data Science Career
Start your Data Science Career and Use https://developer.ibm.com/learningpat...
Join IBM AI NYC Chapter - https://www.meetup.com/AI-Modeling-an...
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Data science continues to evolve as one of the most promising and in-demand career paths for skilled professionals. Today, successful data professionals understand that they must advance past the traditional skills of analyzing large amounts of data, data mining, and programming skills. In order to uncover useful intelligence for their organizations, data scientists must master the full spectrum of the data science life cycle and possess a level of flexibility and understanding to maximize returns at each phase of the process.
The five stages of the data science life cycle:
1. Extract (data acquisition, data entry, signal reception, data extraction);
2. Load (data warehousing, data cleansing, data staging, data processing, data architecture);
3. Transform (data mining, clustering/classification, data modeling, data summarization);
4. Analyze (exploratory/confirmatory, predictive analysis, regression, text mining, qualitative analysis);
5. Communicate (data reporting, data visualization, business intelligence, decision making).
Engage in the community to learn about -
1. Client Success Stories
2. Data and AI Labs and Learning
3. Data and AI Leadership Blog Posts
4. Data and AI Product Development Community
5. Data Science and AI Elite Website: The perfect place to drive clients, prospects, and business partners to learn about the Data Science Experience, their Industry Accelerators, and how to engage.
6. Data Science and AI Elite Community: The best place for blogs, content, discussions, webinars and more centered around data science.
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