Thursday 30 March 2023
Building the Networks of Tomorrow
Saturday 25 March 2023
Step Beyond Traditional Security and Device Management
Thursday 23 March 2023
Your Data Management Journey: Keep the End in Mind
Starting Your Data Management Journey
Let Dell Data Management Lead the Way
Tuesday 21 March 2023
Data Everywhere and Not an Insight to be Found
Prevail Through the Hurricane that is Data
Learn From Those Who Weathered the Storm
Monday 20 March 2023
Why Is Dell EMC Advanced Analytics Specialist the Most Sought-After Certification for Data Professionals?
The Dell EMC Advanced Analytics Specialist certification exposes you to big data and data analytics basics. Topics for this certification include an introduction to data analytics, big data characteristics, and data scientists' roles. It also had a variety of big data theories and techniques, including linear regression, time-series analysis, and decision trees.
This Dell EMC Advanced Analytics Specialist certification is designed to build on the skills developed in the associate-level course and help aspiring data scientists continue to evolve and grow their skill sets. The main growth areas include advanced analytical methods, Hadoop and Pig, Hive, HBase, social network analysis, natural language processing, and visualization.
Benefits of Dell EMC Advanced Analytics Specialist Certification
Data exploration and discovery to recognize and quantify the characteristic of the data. This is an interactive method to determine which variables and metrics to test in the interactive analytic model development process.
Data enrichment is the method of creating new higher-order variables that enhance the content and context of the raw data given the problem being addressed. Data enrichment methods cover log transformations, RFM (recency, frequency, monetary) calculations, indices, share, attributions, and scores.
Data visualization uses tools and methods to identify patterns, trends, outliers, and correlations that might be helpful in the analytic modeling process; to identify variables and metrics that might be better predictors of business and operational performance.
Feature engineering, creating new input features for machine learning, is one of the most effective methods for developing predictive models.
Job Outlook
According to the US Bureau of Labor Statistics, the number of data scientist positions in the United States is expected to increase by 22 percent from 2020 to 2030. The potential rise means that job growth for data scientists is about three times higher than the national average for all careers.
Careers as Dell EMC Advanced Analytics Specialists are still a comparatively new concept. However, since the advent of big data, it is becoming increasingly critical for large and mid-size companies to have a data scientist on their staff who can aid them in making the most of their data. Frequently, data scientists' insights can have enormous benefits for companies.
Possible Career Pathway for a Dell EMC Advanced Analytics Specialist
The first step for anyone who wants to become a Dell EMC Advanced Analytics Specialist is to learn the technical skills mentioned above, which are required for this field.
You can do this through a boot camp, a bachelor’s degree, or studying independently. Having these skills is an essential demand for becoming a data scientist. Once you have these skills, you will have a good chance of landing an entry-level position as a data scientist.
However, to improve your chances of landing a data scientist position, you should complete a master’s degree in either data science or computer science. Earning as many of the abovementioned certifications as possible would be best. The more credentials you have, the better your chances of getting a good data science position.
The Dell EMC Advanced Analytics Specialist is a foundation certification that exposes you to analytic data basics and big data. You are considered a proven professional as you pass your Dell EMC Advanced Analytics Specialist certification.
Role of a Dell EMC Advanced Analytics Specialist
As businesses generate more data than ever, it becomes clear that data is valuable. However, extracting meaningful insights from data demands analyzing the data, which is where Data Scientists come in. A Dell EMC Advanced Analytics Specialist collects, organizes, surveys, and interprets data to find trends, patterns, and correlations.
Data Scientists play an essential role in guaranteeing that organizations make informed decisions. They work closely with business leaders to identify specific objectives, such as determining customer segmentation and driving improvements in products and services. Using advanced machine learning algorithms and statistical models, Data Scientists can examine massive datasets to uncover patterns and insights that help organizations make sound decisions.
Data Scientists usually have a combination of technical skills and knowledge of interpreting and visualizing data. They must have expertise in statistical analysis, programming languages, machine learning algorithms, and database systems.
The role of a Dell EMC Advanced Analytics Specialist is critical for businesses looking to make data-driven decisions. Data Scientists collect, organize, analyze, and interpret data to identify trends and correlations. They also develop data processing pipelines, design reports and dashboards, and develop models to forecast future trends. They must understand the business context and the customer’s needs to succeed in the field.
Conclusion
Data Science tools and techniques provide a lot to the growth of a business. Every business is undergoing a digital transformation, and there is a growing demand for candidates with appropriate skills. Knowledge companies offer competitive salaries for the right talent if you are interested in a career in data science or moving to roles such as Business Analysts, Data Analysts, Data Engineers, Analytics Engineers, etc.
Thursday 16 March 2023
Dell Partners Across Telecom Ecosystem to Solve Industry Challenges
Driving Accelerator Innovation to Deliver Open RAN Price Performance
Accelerating Cloud-native 5G Network Deployments
Making the Promise of Open a Reality
Tuesday 14 March 2023
Private Wireless Networks – Opportunities and Challenges for Enterprises
CSPs: Transforming to Serve Enterprises
Requirements for a Future-proof Private Wireless Network
A Collaboration Ecosystem
Saturday 11 March 2023
How to Maintain One to One Student Device Programs
Inventory Your Devices and Infrastructure
Map the Full Lifecycle of Your Devices
Your SLA and Metrics
Assess Cybersecurity
Refine the Student Experience
Use Partners Wisely
Evaluate Different Funding Models
Thursday 9 March 2023
Building the Open RAN Ecosystem
The Benefit of the Dell RAN Ecosystem
This is What Choice and Flexibility Look Like
Open to What the Future Brings
Tuesday 7 March 2023
Accelerate Your Network Across the Finish Line
Performance of the Year
Championship-ready Solutions
Program Built for Success
Saturday 4 March 2023
The Right Fit for Cloud Implementation
It’s All About the Apps
Multiple Choice Cloud
Automation For the Win
Bringing It Together
Thursday 2 March 2023
The Dell Data Management Journey Map
Artificial intelligence (AI) is the future of technology. It is quickly becoming infused into the very fabric of everyday life and already impacting nearly every industry and business function. It is one of the most innovative technologies ever conceived or built, and it will be essential to the innovations of today and tomorrow. In a sense, AI is at the heart of innovation. And just like the heart needs oxygen and good blood flow, AI engines need a steady stream of clean and accurate data. The key to unlocking this is modern data management.
For example, take AeroFarms, a world leader in indoor farming and sustainable agriculture. AeroFarms achieves 390 times greater productivity annually than a commercial field farm while using 95 percent less water. Before having a holistic data management strategy in place, AeroFarms was harvesting plants without adequately harvesting valuable data that would yield better results. So, the company partnered with Dell to put their data to work to drive better performance.
The Dell Data Management Journey Map is comprised of seven key data and analytic outcomes that we believe are critical in accelerating an organization’s journey from business need to business outcome. In this blog post, we’ll introduce each of these seven key data and analytic outcomes, then explore each in greater detail in future blogs posts.