IBM Data Science Professional Certificate — Coursera

What you'll learn?
Describe what is data science, the various activities of a data scientist’s job, and methodology to think and work like a data scientist

Develop hands-on skills using the tools, languages, and libraries used by professional data scientists

Import and clean data sets, analyze and visualize data, and build and evaluate machine learning models and pipelines using Python

Apply various data science skills, techniques, and tools to complete a project using a real-world data set and publish a report for stakeholders


Skills you'll gain?

Category: Data Science
Category: Deep Learning
Category: Machine Learning
Category: Big Data
Category: Data Mining
Category: Github
Category: Python Programming
Category: Jupyter notebooks
Category: Rstudio
Category: Methodology
Category: CRISP-DM
Category: Data Analysis
Category: Pandas
Category: Numpy
Category: Cloud Databases

Complete An Included Certification Exam (CertificationPoint Version)


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[Training Pkg #CPTRAINPKG0206a] Get The IBM DevOps Pro Package
(3 purchase(s) during the period from 4/1/2024 to 6/31/2024)

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[Training Pkg #CPTRAINPKG0206b] Get The IBM Data Science Package (Level II)
(1 purchase(s) during the period from 4/1/2024 to 6/31/2024)

Training Packages Available Quarterly: 40


   $50.00

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FOR EDUCATORS: Get The IBM Data Science Package
(6 purchase(s) during the period from 4/1/2024 to 6/31/2024)

Training Packages Available Quarterly: 40


   $89.00

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SEARCH

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SECURITY

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NETWORKING

CompTIA Network+  |   CCNP Routing and Switching


DATABASES

Oracle Certified Professional Database Administrator (OCP - DBA)


INFORMATION TECHNOLOGY (Dev, Web, AI, & Other)

Information Technology Infrastructure Library (ITIL)  |   TOGAF 9 Certification – Foundation  |   Certification of Professional Achievement in Data Sciences  |   Certified Analytics Professional (CAP)  |   Dell EMC Data Science Associate (EMCDS)  |   SAS Certified Data Scientist  |   Microsoft Certified: Azure Data Scientist Associate  |   Microsoft Certified Azure Fundamentals  |   IIBA Certification in Business Data Analysis (CBDA)  |   IIBA-CBDA Competencies  |   IQBBA Certified Foundation Level Business Analyst (CFLBA)  |   Certified Professional for Requirements Engineering (CPRE)  |   HBS Online Business Analytics Programme  |   Puppet Certified Professional  |   Microsoft Certified: DevOps Engineer Expert  |   Linux Foundation Certified System Administrator (LFCS)  |   Red Hat Certified Specialist in OpenShift Administration (EX280)  |   FinOps Certified Practitioner (FOCP)  |   Prometheus Certified Associate (PCA)  |   CCC Internet Of Things Foundation Certification  |   CertNexus Certified Internet Of Things Practitioner  |   CertNexus Certified Internet Of Things Security Practitioner  |   Microsoft Certified Azure IoT Developer  |   Arcitura Certified IoT Architect  |   AWS Internet Of Things Foundation Series  |   IBM AI Engineering Professional Certificate  |   IBM Data Science Professional Certificate  |   IBM Data Analyst Professional Certificate  |   Microsoft Certified: Azure AI Engineer Associate  |   Microsoft Certified: Azure AI Fundamentals  |   Full Stack Java Developer  |   IBM Full Stack Cloud Developer  |   IBM DevOps and Software Engineering Professional Certificate  |   Full-Stack Web Development With React Specialisation


CLOUD/VIRTUALIZATION RELATED

Dell EMC Cloud Architect  |   Cloudera Certified Spark and Hadoop Developer (CCHD)  |   Cloudera Certified Associate (CCA) Data Analyst  |   Cloudera Certified Professional (CCP) Data Administrator  |   Amazon Web Services Solutions Architect - Associate  |   Google Associate Cloud Engineer  |   IBM Certified Technical Advocate - Cloud v3  |   Cloud Security Alliance: Certificate of Cloud Security Knowledge (CCSK)  |   Cloudera Certified Spark and Hadoop Developer (CCHD)  |   AWS Certified DevOps Engineer - Professional  |   Certified Kubernetes Administrator (CKA)  |   Docker Certified Associate (DCA)  |   Certified Kubernetes Application Developer (CKAD)  |   Certified Kubernetes Security Specialist (CKS)  |   HashiCorp Certified Terraform Associate  |   HashiCorp Certified: Vault Associate  |   Red Hat Certified Engineer (RHCE) exam (Ansible Certification)  |   VMware VCP6-DCV  |   Citrix Certified Professional - Virtualization (CCP-V)


BLOCKCHAIN & CRYPTOCURRENCY

Certified Blockchain Architect (Blockchain Council)  |   Certified DAO Expert (Blockchain Council)  |   Certified Blockchain Developer (Blockchain Council)  |   Certified Smart Contract Developer (Blockchain Council)


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Tokenization is the process of replacing sensitive data with non-sensitive or anonymized data, often referred to as “tokens,” while retaining the essence of the data (for example, an account number or payment source) without compromising its security. The tokens used to replace or represent data have no value on their own, and only become meaningful when they are securely associated with the data they represent. Tokenization offers the data security required by financial institutions, payment processing firms, and other private and public institutions handling sensitive details, such as medical records, bank account information, credit card information, Social Security numbers, and many more. TYPES OF TOKENIZATION Vault tokenization: In this form of tokenization, users keep a secure tokenization vault database where sensitive data and associated non-sensitive data are securely stored. Vaultless tokenization: Instead of using a database, a more cryptographic device is used in vaultless tokenization, making it more secured and reliable than the vault approach. To convert sensitive data into non-sensitive data or generate tokens, secure cryptographic devices use standards-based algorithms.
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