在数据科学领域工作. Master strategies to implement Data Science techniques in order to solve business problems.

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Sarah Haq 另外 +2 位授课教师

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CertNexus 认证数据科学从业人员专业证书CertNexus

您将学到的内容有

Communicate results of a model via web apps, and implement an d test pipelines that automate the model training, tuning and deployment process.

您将获得的技能

Data Manipulation
Machine Learning
Data Analysis
Extraction, Transformation And Loading (ETL)
Data Model
Data-Informed Decision-Making
Scope (Project Management)
Business Process
Cleaning
Data Mining
Data Insight
Dissemination

关于此专业证书

2,914 次近期查看

The field of Data Science has topped the Linked In Emerging Jobs list for the last 3 years with a projected growth of 28% annually and the World Economic Forum lists Data Analytics and Scientists as the top emerging job for 2022. Data can reveal insights and inform business—by guiding decisions and influencing day-to-day operations. This specialization will teach learners how to analyze, understand, manipulate, and present data within an effective and repeatable process framework and will enable you to bring value to the business by putting data science concepts into practice. This course is designed for business professionals that want to learn how to more effectively extract insights from their work and leverage that insight in addressing business issues, thereby bringing greater value to the business. The typical student in this course will have several years of experience with computing technology, including some aptitude in computer programming. Certified Data Science Practitioner (CDSP) will prepare learners for the CertNexus CDSP certification exam. To complete your journey to the CDSP Certification Complete the Coursera Certified Data Science Practitioner Professional Certificate. Review the CDSP Exam Blueprint. Purchase your CDSP Exam Voucher. Register for your CDSP Exam.

应用的学习项目

At the conclusion of each course, learners will have the opportunity to complete a project which can be added to their portfolio of work. Projects include:

Address a Business Issue with Data Science

Extract, Transform, and Load Data

Data Analysis

Training a Machine Learning Model

Presenting a Data Science Project

可分享的证书

完成后获得证书

100% 在线课程

立即开始，按照自己的计划学习。

灵活的计划

设置并保持灵活的截止日期。

中级

The typical learner will have several years of experience with computing technology, including some aptitude in computer programming.

完成课程大约需要 6 个月

建议进度：4 小时/周

英语（English）

字幕：英语（English）

可分享的证书

完成后获得证书

100% 在线课程

立即开始，按照自己的计划学习。

灵活的计划

设置并保持灵活的截止日期。

中级

The typical learner will have several years of experience with computing technology, including some aptitude in computer programming.

完成课程大约需要 6 个月

建议进度：4 小时/周

英语（English）

字幕：英语（English）

专业证书是什么？

塑造技能，做好工作准备

无论您是想开始新的职业生涯，还是改变目前职业，Coursera 专业证书都能帮您为开始工作做好准备。选择最适合的时间和地点，自行安排学习进度。立即注册，探索新的职业道路，可免费试用 7 天。您可以随时暂停学习或结束订阅。

实践项目

将您的技能应用到实践项目，并丰富您的简历内容，进而向潜在雇主展示您已为开始工作做好准备。您需要成功完成项目以获得证书。

获得职业证书

当完后计划中的所有课程后，您将获得一张证书。您可以将其在专业网络上分享，并获得使用职业支持资源的权限，这能够为您开启职业生涯提供助力。许多招聘合作伙伴认可我们的许多专业证书，并且我们还有许多合作伙伴可以帮助您准备认证考试。您可以在适用的各个专业证书页面上找到更多信息。

此专业证书包含 5 门课程

课程1

课程 1

Address Business Issues with Data Science

This course is designed for business professionals that want to learn how to determine if a business issue is appropriate for a data science project and apply the data science process.

课程2

课程 2

Extract, Transform, and Load Data

This course is designed for business and data professional seeking to learn the first technical phase of the data science process known as Extract, Transform and Load or ETL.

Learners will be taught how to collect data from multiple sources so it is available to be transformed and cleaned and then will dive into collected data sets to prepare and clean data so that it can later be loaded into its ultimate destination. In the conclusion of the course learners will load data into its ultimate destination so that it can be analyzed and modeled. The typical student in this course will have experience working with data and aptitude with computer programming.

课程3

课程 3

Analyze Data

This course is designed for business professionals that want to learn how to analyze data to gain insight, use statistical analysis methods to explore the underlying distribution of data, use visualizations such as histograms, scatter plots, and maps to analyze data and preprocess data to produce a dataset ready for training.

课程4

课程 4

Train Machine Learning Models

This course is designed for business professionals that wish to identify basic concepts that make up machine learning, test model hypothesis using a design of experiments and train, tune and evaluate models using algorithms that solve classification, regression and forecasting, and clustering problems.

授课教师

提供方

CertNexus

CertNexus is a vendor-neutral certification body, providing emerging technology certifications and micro-credentials for Business, Data, Development, IT, and Security professionals. CertNexus’ exams meet the most rigorous development standards possible which outlines a global framework for developing personnel certification programs to narrow the widening skills gap.

常见问题

退款政策是如何规定的？
如果订阅，您可以获得 7 天免费试听，在此期间，您可以取消课程，无需支付任何罚金。在此之后，我们不会退款，但您可以随时取消订阅。请阅读我们完整的退款政策。
我可以只注册一门课程吗？
可以！点击您感兴趣的课程卡开始注册即可开始学习。注册并完成课程后，您可以获得可共享的证书，或者您也可以旁听该课程免费查看课程资料。如果您订阅的课程是某证书的一部分，系统会自动为您订阅完整的证书。访问您的学生面板，跟踪您的进度。
此课程是 100% 在线学习吗？是否需要现场参加课程？
此课程完全在线学习，无需到教室现场上课。您可以通过网络或移动设备随时随地访问课程视频、阅读材料和作业。
完成专项课程需要多长时间？
It will take learners 5 months with an average of 2 hours per week learning time. Learners can complete the specialization in shorter length of time by spending more time per week.
What background knowledge is necessary?
Learners should have a high-level understanding of fundamental data science concepts, including, but not limited to: types of data, data science roles, the overall data science lifecycle, and the benefits and challenges of data science. You can obtain this level of knowledge by taking the CertNexus DSBIZ™ (Exam DSZ-110) course.
You should have also have experience with high-level programming languages like Python. Being comfortable using fundamental Python data science libraries like NumPy and pandas is highly recommended. Experience working with databases, including querying languages like SQL is recommended.
Do I need to take the courses in a specific order?
It is recommended that learners take the course in order.
完成专项课程后我会获得大学学分吗？
Please contact your university to check for eligible credits.
What will I be able to do upon completing the Specialization?
Upon completion learners will be prepared to take the CDSP (DSP) exam offered on Pearson VUE by CertNexus. For more information and to purchase exam vouchers visit https://store.certnexus.com/index.php/cdsp-exam-voucher.html

还有其他问题吗？请访问学生帮助中心。