Data scientist is one of the best suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace. However, supply has been very limited. It is difficult to acquire the skills necessary to be hired as a data scientist. And how can you do that?
Universities have been slow at creating specialized data science programs. Most online courses focus on a specific topic and it is difficult to understand how the skill they teach fit in the complete picture.
Cyber Train offers highly-rated data science internship program that will help you learn how to visualize and respond to new data, as well as develop innovative new technologies.
UPGRADE YOUR DATA ANALYTICS SKILLS AND ACCELERATE YOUR CAREER
Get started on your Data Science journey, as you learn what it takes to become a Data Scientist.
Learn to work with and explore data using a variety of visualization, analytical, and statistical techniques.
What do Data Scientists do?
Capture Data
Pulling the data from a company database, scraping it from a website, accessing an API, etc.
Manage Data
Properly storing the data, and will almost always involve cleaning the data.
Exploratory Analysis
Performing different analyses and visualizing the data in various ways to look for patterns, questions, and opportunities for deeper study.
Final Analysis
Digging deeper into the data to answer specific business questions, and fine-tuning predictive models for the most accurate results.
Reporting
Presenting the results of analysis to management, which might include writing a report, producing visualizations, and making recommendations based on the results of
analysis.
How Businesses Benefit From Hiring Data Scientists?
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Improving decision-making by giving management actionable intelligence that leaders can use to shape short and long-term strategies.
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Improving hiring which can help more objectively evaluate candidates and root out inefficiencies and biases.
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Predicting the future by finding patterns in data that humans would not be able to and forecast future results with a higher level of accuracy.
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Identifying new opportunities by exploring data and looking for patterns.
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Improving risk assessment: data science often makes it possible to “test” risky ideas by running the numbers before putting them into action, allowing companies to avoid potentially costly risks and mistakes.
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Fostering data-first culture: a data scientist or data science team can help facilitate data-based decision-making in every team across the company by providing them with data tools like dashboards and the training necessary to understand them.
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Improving targeting by helping companies find new target markets, better understand existing customers, and more accurately predict what customers want.
After This Internship Program, You Will Be Able To:
Determine the difference between graphical models and network models
Deploy machine learning algorithms to improve business decision making
Apply data science techniques to your organization's data management challenges and business decision making
Convert datasets to models through predictive analytics
Master best practices for experiment design and hypothesis testing
