Data Analyst naar Data Scientist - Part 2 Data Wrangler
As low as
duration: 33 hours |
Language: English (US) |
access duration: 365 days |
Details
This is part 2 of the learning path Data Analyst to Data Scientist.
This part focuses on the Data Wrangler role. Topics such as wrangling with Python, Mongo and building data pipelines are covered.
You will find different courses that prepare you to get started as a Data Wrangler. In addition, a livelab is available for practice. You conclude this part with an exam.
Result
After completing this part you have the knowledge and skills to get started as a Data Wrangler.
Note: This is part 2 of 4
Prerequisites
You are supposed to master the knowledge and skills that are covered in part 1 (Data Analyst) of this learning path.
Target audience
Data analist
Content
Data Analyst naar Data Scientist - Part 2 Data Wrangler
Data Wrangling with Pandas: Working with Series & DataFrames
Discover how to perform data transformations, data cleaning, and statistical aggregations using Pandas DataFrames.
Data Wrangling with Pandas: Visualizations and Time-Series Data
Visualize and explore data in Pandas using popular chart types like the bar graph, histogram, pie chart, and box plot. Discover how to work with time series and string data in datasets.
Delivering Dashboards: Exploration & Analytics
Explore the role played by dashboards in data exploration and deep analytics. Examine the essential patterns of dashboard design and how to implement appropriate dashboards using Kibana, Tableau, and Qlikview.
Cloud Data Architecture: DevOps & Containerization
Discover how to implement cloud architecture for large scale applications, serverless computing, adequate storage, and analytical platforms using DevOps tools and cloud resources.
Cloud Data Architecture: Data Management & Adoption Frameworks
Explore how to implement containers and data management on popular cloud platforms like AWS and GCP. Planning big data solutions, disaster recovery, and backup and restore in the cloud are also covered.
Compliance Issues and Strategies: Data Compliance
It's crucial that organizations remain compliant with their big data implementations. Examine compliance and its relationship with big data, as well as popular resources for developing compliance strategies
Implementing Governance Strategies
As organizations become more data science aware, it's critical to understand the role of governance in big data implementation. In this course you will examine governance and its relationship with big data, and how to plan and design a big data governance strategy.
Data Access & Governance Policies: Data Access Oversight and IAM
Data sensitivity and security breaches are common in news media reports. Explore how a structured data access governance framework results in reducing the likelihood of data security breaches.
Data Access & Governance Policies: Data Classification, Encryption, and Monitoring
Before data can be sufficiently protected, its sensitivity must be known. Explore how data classification determines which security measure applies to varying classes of data.
Streaming Data Architectures: An Introduction to Streaming Data
Streaming Data Architectures: Processing Streaming Data
Discover how to develop applications
Scalable Data Architectures: Introduction
Explore a theoretical foundation on the need for and the characteristics of scalable data architectures. Using data warehouses to store, process, and analyze big data is also covered.
Scalable Data Architectures: Introduction to Amazon Redshift
Using a hands-on lab approach, explore how to use Amazon Redshift to set up and configure a data warehouse on the cloud. Discover how to interact with the Redshift service using both the console and the AWS CLI.
Scalable Data Architectures: Working with Amazon Redshift & QuickSight
Explore the loading of data from an external source such as Amazon S3 into a Redshift cluster, as well as the configuration of snapshots and the resizing of clusters. Discover how to use Amazon QuickSight to visualize data.
Building Data Pipelines
Explore data pipelines and methods of processing them with and without ETL. Creating data pipelines using Apache Airflow is also covered.
Data Pipeline: Process Implementation Using Tableau & AWS
Explore the concept of data pipelines, the processes and stages involved in building them, and the technologies like Tableau and AWS that can be used.
Data Pipeline: Using Frameworks for Advanced Data Management
Discover how to implement data pipelines using Python Luigi, integrate Spark, and Tableau to manage data pipelines, use Dask arrays, and build data pipeline visualization with Python.
Data Sources: Integration
To become proficient in data science, you have to understand edge computing. This is where data is processed near the source or at the edge of the network while in a typical cloud environment, data processing happens in a centralized data storage location. In this course you will exam the architecture of IoT solutions and the essential approaches of integrating data sources.
Data Sources: Implementing Edge on the Cloud
To become proficient in data science, you have to understand edge computing. This is where data is processed near the source or at the edge of the network while in a typical cloud environment, data processing happens in a centralized data storage location. In this course you will explore the implementation of IoT on prominent cloud platforms like AWS and GCP. Discover how to work with IoT Device Simulator and generate data streams using MQTT.
Data Ops 16: Securing Big Data Streams
Examine the security risks related to modern data capture and processing methods such as streaming analytics, the techniques and tools employed to mitigate security risks, and best practices related to securing big data.
Harnessing Data Volume & Velocity: Big Data to Smart Data
Explore the concept of smart data and the associated life cycle and benefits afforded by smart data. Frameworks and algorithms that can help transition big data to smart data are also covered.
Data Rollbacks: Transaction Rollbacks & Their Impact
Explore the concepts of transactions, transaction management policies, and rollbacks. Discover how to implement transaction management and rollbacks using SQL Server.
Data Rollbacks: Transaction Management & Rollbacks in NoSQL
Explore the differences between transaction management using NoSQL and MongoDB. Discover how to implement of change data capture in databases and NoSQL.
EU General Data Protection Regulation (GDPR): An Implementation and Compliance Guide, Second Edition
The Psychology of Information Security: Resolving Conflicts Between Security Compliance and Human Behaviour
Beginning Apache Spark 2: With Resilient Distributed Datasets, Spark SQL, Structured Streaming and Spark Machine Learning Library
Pro Spark Streaming: The Zen of Real-Time Analytics Using Apache Spark
Information Security Governance: Framework and Toolset for CISOs and Decision Makers
Network and Data Security for Non-Engineers
Practical Enterprise Data Lake Insights: Handle Data-Driven Challenges in an Enterprise Big Data Lake
Processing Big Data with Azure HDInsight: Building Real-World Big Data Systems on Azure HDInsight Using the Hadoop Ecosystem
Statistical Data Cleaning with Applications in R
Final Exam: Data Wrangler
Final Exam: Data Analyst will test your knowledge and application of the topics presented throughout the Data Wrangler track of the Skillsoft Aspire Data Science Journey.
Course options
We offer several optional training products to enhance your learning experience. If you are planning to use our training course in preperation for an official exam then whe highly recommend using these optional training products to ensure an optimal learning experience. Sometimes there is only a practice exam or/and practice lab available.
Optional practice exam (trial exam)
To supplement this training course you may add a special practice exam. This practice exam comprises a number of trial exams which are very similar to the real exam, both in terms of form and content. This is the ultimate way to test whether you are ready for the exam.
Optional practice lab
To supplement this training course you may add a special practice lab. You perform the tasks on real hardware and/or software applicable to your Lab. The labs are fully hosted in our cloud. The only thing you need to use our practice labs is a web browser. In the LiveLab environment you will find exercises which you can start immediately. The lab enviromentconsist of complete networks containing for example, clients, servers,etc. This is the ultimate way to gain extensive hands-on experience.
Sign In
WHY_ICTTRAININGEN
Betaal in termijnen
| Cursusnaam | |
| Looptijd | |
| Rentebedrag financiering | |
| Totaal bedrag | |
| Maandbedrag |
Gespreid betalen met Spraypay
Met de betaaloptie SprayPay kun je jouw bestelling van € 250,- tot € 3.500,- veilig en gespreid betalen in gelijke termijnen van 12, 18, 24 of 36 maanden. Je hebt op die manier een minimale financiële belasting en je kunt eenvoudig de termijnbetalingen opnemen in jouw vaste lasten.
Hoe werkt het kopen op afbetaling? De beoordeling van de kredietaanvraag vindt online plaats. Binnen enkele seconden weet je of je in aanmerking komt voor een krediet. Is de aanvraag akkoord dan kun je meteen genieten van je aankoop.
Let op: deze betaalmetode is aleen beschikbaar voor particulieren! Bekijk voor je aankoop ook de SprayPay voorwaarden.
Via ons opleidingsconcept bespaar je tot 80% op trainingen
Start met leren wanneer je wilt. Je bepaalt zelf het gewenste tempo
Spar met medecursisten en profileer je als autoriteit in je vakgebied.
Ontvang na succesvolle afronding van je cursus het officiële certificaat van deelname van Icttrainingen.nl
Krijg inzicht in uitgebreide voortgangsinformatie van jezelf of je medewerkers
Kennis opdoen met interactieve e-learning en uitgebreide praktijkopdrachten door gecertificeerde docenten
Orderproces
Once we have processed your order and payment, we will give you access to your courses. If you still have any questions about our ordering process, please refer to the button below.
read more about the order process
Een zakelijk account aanmaken
Wanneer u besteld namens uw bedrijf doet u er goed aan om aan zakelijk account bij ons aan te maken. Tijdens het registratieproces kunt u hiervoor kiezen. U heeft vervolgens de mogelijkheden om de bedrijfsgegevens in te voeren, een referentie en een afwijkend factuuradres toe te voegen.
Betaalmogelijkheden
U heeft bij ons diverse betaalmogelijkheden. Bij alle betaalopties ontvangt u sowieso een factuur na de bestelling. Gaat uw werkgever betalen, dan kiest u voor betaling per factuur.
Cursisten aanmaken
Als u een zakelijk account heeft aangemaakt dan heeft u de optie om cursisten/medewerkers aan te maken onder uw account. Als u dus meerdere trainingen koopt, kunt u cursisten aanmaken en deze vervolgens uitdelen aan uw collega’s. De cursisten krijgen een e-mail met inloggegevens wanneer zij worden aangemaakt en wanneer zij een training hebben gekregen.
Voortgangsinformatie
Met een zakelijk account bent u automatisch beheerder van uw organisatie en kunt u naast cursisten ook managers aanmaken. Beheerders en managers kunnen tevens voortgang inzien van alle cursisten binnen uw organisatie.
What is included?
| Certificate of participation | Yes |
| Teacher included | Yes |
| Monitor Progress | Yes |
| Award Winning E-learning | Yes |
| Mobile ready | Yes |
| Sharing knowledge | Unlimited access to our IT professionals community |
| Study advice | Our consultants are here for you to advice about your study career and options |
| Study materials | Certified teachers with in depth knowledge about the subject. |
| Service | World's best service |
Platform
Na bestelling van je training krijg je toegang tot ons innovatieve leerplatform. Hier vind je al je gekochte (of gevolgde) trainingen, kan je eventueel cursisten aanmaken en krijg je toegang tot uitgebreide voortgangsinformatie.
FAQ
Niet gevonden wat je zocht? Bekijk alle vragen of neem contact op.