5 Advance Projects for Data Science Portfolio
KDnuggets
MARCH 30, 2023
Work on data analytics, time series, natural language processing, machine learning, and ChatGPT projects to improve your chance of getting hired.
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KDnuggets
MARCH 30, 2023
Work on data analytics, time series, natural language processing, machine learning, and ChatGPT projects to improve your chance of getting hired.
KDnuggets
DECEMBER 15, 2022
Get more experience by working on web scraping, data analytics, time-series forecasting, machine learning, and deep learning projects.
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Going Beyond Chatbots: Connecting AI to Your Tools, Systems, & Data
Smart Tech + Human Expertise = How to Modernize Manufacturing Without Losing Control
Robinhood
JULY 1, 2024
With Pluto, investors have had unique access to: Enhanced Data Analysis: Pluto’s advanced data analytics capabilities can process and interpret market data more efficiently by providing state of the art large language models (LLMs) with access to real-time personal and global financial data.
Edureka
APRIL 17, 2023
Data analytics is the process of analyzing, interpreting, and presenting data in a meaningful way. In today’s data-driven world, data analytics plays a critical role in helping businesses make informed decisions. This article will discuss nine data analytics project ideas for your portfolio.
Cloudera
MAY 30, 2024
Generative AI also provides a range of new opportunities, such as personalized customer experiences, automated content creation, risk and compliance analysis, and trading and portfolio optimization. The post Bringing Financial Services Business Use Cases to Life: Leveraging Data Analytics, ML/AI, and Gen AI appeared first on Cloudera Blog.
ProjectPro
DECEMBER 7, 2021
Are you seeking a job as a data analyst? Your data analyst portfolio is an opportunity to demonstrate your ability to tell a story, which is a crucial data analyst skill. Data Analyst Portfolio Examples - What You Can Learn From Them? Wrapping Up. jpeg, PDF, PowerPoint, Word, and others).
KDnuggets
OCTOBER 20, 2022
Free Python for Data Science Course • 7 Machine Learning Portfolio Projects to Boost the Resume • Free Algorithms in Python Course • How to Select Rows and Columns in Pandas • 5 Data Science Skills That Pay & 5 That Don't • Everything You’ve Ever Wanted to Know About Machine Learning • Free SQL and Database Course • 7 Data Analytics Interview (..)
AltexSoft
MAY 14, 2021
And that’s the most important thing: Big Data analytics helps companies deal with business problems that couldn’t be solved with the help of traditional approaches and tools. This post will draw a full picture of what Big Data analytics is and how it works. Big Data and its main characteristics.
ProjectPro
JULY 13, 2015
Large commercial banks like JPMorgan have millions of customers but can now operate effectively-thanks to big data analytics leveraged on increasing number of unstructured and structured data sets using the open source framework - Hadoop. We can zoom in and see the impact.”-
Edureka
APRIL 9, 2025
Development of Some Relevant Skills and Knowledge Data Engineering Fundamentals: Theoretical knowledge of data loading patterns, data architectures, and orchestration processes. Data Analytics: Capability to effectively use tools and techniques for analyzing data and drawing insights.
Snowflake
AUGUST 26, 2024
This unpredictability necessitates sophisticated data analytics to mitigate risks and stabilize financial performance. Corporations seek quantitative data for environmental, social and governance (ESG) reporting, while end consumers demand intuitive, user-friendly home energy systems that are as easy to use as their smartphones.
Knowledge Hut
DECEMBER 26, 2023
What is data analytics? In the world of IT, every small bit of data count; even information that looks like pure nonsense has its significance. So, how do we retrieve the significance from this data? This is where Data Science and analytics comes into the picture. Why data analytics?
ProjectPro
MARCH 12, 2016
For the leading payment network - PayPal, Big Data is an asset and is used for serious business strategies. Big Data Analytics and Data Science is at the heart of all this processing in the 17-year-old PayPal. At PayPal the raw clickstream data is processed in Hadoop through a cleaning phase.
Knowledge Hut
DECEMBER 26, 2023
Business Analytics In essence, Business Analytics refers to the process of combining Data Analytics and Business Intelligence on a huge set of data to gain insights for the development of future business plans and strategies. Project Management is considered to be one of the best management courses in the world.
Snowflake
MAY 3, 2023
The company wanted to eliminate barriers in the manufacturing value chain, improve operational efficiency, and optimize its portfolio based on cost and margin. But to do this, ABB needed to gather data that was scattered in 37 SAP systems across the globe.
Knowledge Hut
JUNE 26, 2023
Best Data Science certifications online or offline are available to assist you in establishing a solid foundation for every end-to-end data engineering project. What are Data Engineering Projects? You should be able to identify potential weak spots in data pipelines and construct robust solutions to withstand them.
Knowledge Hut
FEBRUARY 29, 2024
Currently, numerous resources are being created on the internet consisting of data science websites, data analytics websites, data science portfolio websites, data scientist portfolio websites and so on. So, having the right knowledge of tools and technology is important for handling such data.
ProjectPro
MARCH 10, 2016
Table of Contents LinkedIn Hadoop and Big Data Analytics The Big Data Ecosystem at LinkedIn LinkedIn Big Data Products 1) People You May Know 2) Skill Endorsements 3) Jobs You May Be Interested In 4) News Feed Updates Wondering how LinkedIn keeps up with your job preferences, your connection suggestions and stories you prefer to read?
Knowledge Hut
JUNE 28, 2023
Other options include: Data analytics certificate and training from Google, Business analysis online training courses from LinkedIn, Certification for business analyst from Microsoft, and more. You can distinguish yourself from other job seekers and show prospective employers your knowledge and skills with a strong portfolio or resume.
ProjectPro
OCTOBER 27, 2014
Hadoop is present in all the vertical industries today for leveraging big data analytics so that organizations can gain competitive advantage. With petabytes of data produced from transactions amassed on regular basis, several banking and financial institutions have already shifted to Hadoop.
Cloudera
FEBRUARY 11, 2021
With the completion of our vision of becoming the world’s first Enterprise Data Cloud, and the launch of three major products last year, we are now in a unique position to bring the hybrid, multi-cloud data analytics platform with multiple experiences from the edge to AI to our partners and customers.
Knowledge Hut
DECEMBER 22, 2023
Benefits: Personalized User Experience Automation and Efficiency Advanced Data Analysis Chatbots and Virtual Assistants Examples: Implementing chatbots on websites to provide instant customer support and assistance. Utilizing machine learning algorithms to analyze user data and deliver personalized content recommendations.
Knowledge Hut
JUNE 25, 2024
It is an essential resource for data scientists looking to apply R to solve practical problems and derive actionable insights from data. This book introduces data scientists to the Hadoop ecosystem and its tools for big data analytics. Make a data science portfolio while you are learning Python.
ProjectPro
AUGUST 24, 2021
So, working on a data warehousing project that helps you understand the building blocks of a data warehouse is likely to bring you more clarity and enhance your productivity as a data engineer. Data Analytics: A data engineer works with different teams who will leverage that data for business solutions.
Knowledge Hut
OCTOBER 27, 2023
The finance sector has used it for risk management, balance sheet management, and investment portfolio optimization. This project aims to improve athletes' performance by analyzing their data and providing personalized training programs. Thus, government sectors enjoy a clear benefit from the Six Sigma project.
Knowledge Hut
FEBRUARY 16, 2024
Work on Projects t o Develop Your Practical Data Analytics Skills With a solid understanding of business concepts and the capacity to evaluate massive amounts of data, you may begin honing your ability to apply your new knowledge to real-world challenges. You can accomplish this by enrolling in additional computer classes.
Knowledge Hut
DECEMBER 13, 2023
The big data industry is growing rapidly. Based on the exploding interest in the competitive edge provided by Big Data analytics, the market for big data is expanding dramatically. Big Data startups compete for market share with the blue-chip giants that dominate the business intelligence software market.
Cloudera
AUGUST 20, 2021
in recent price-performance comparisons with other cloud data warehouses or other cloud-native services such as EMR and HDInsight ), CDP would deliver typical big data analytical workloads in the public cloud at a much lower cost. Processing Scalability: As we’ve previously demonstrated (e.g.,
ProjectPro
OCTOBER 3, 2016
The new platform by Unravel Data automates discovery and problem resolution across various big data technologies like Hadoop ,Spark and Apache Kafka, thereby reducing the time taken to resolve any issue in seconds. Source : [link] Big Data Analytics –The Best Career Move in the Coming Years!
Knowledge Hut
DECEMBER 26, 2023
Data scientists are in high demand, and as the market for data science expands quickly, so does the number of job searchers. A data science internship has many additional benefits, starting with the chance to interact with professionals in the field and build your portfolio.
Knowledge Hut
OCTOBER 8, 2023
Here are some of them: AWS Certified Data Analytics (Specialty): This certification shows your ability to use AWS data analytics services and data lakes to gain insights from data. It’s best suited for those who know what AWS data analytics services are and how they work together.
Knowledge Hut
JUNE 23, 2023
Data Infrastructure Manager – You should have the skill to organize a massive data infrastructure, oversee data engineers' teams, and work closely with other IT departments. Step 3 - How to Choose Project Management Courses for Data Engineer Learning Path? You can also post your work on your LinkedIn profile.
ProjectPro
JUNE 1, 2015
With doctors using the data from dedicated wearable fitness devices to personalize healthcare services to a patient, big data analytics is at the core of healthcare operations today.Data-driven decision making is changing models of treatment delivery in healthcare sectors. Today healthcare comes with many challenges.
Data Science Blog: Data Engineering
MARCH 5, 2021
Below are the main benefits of big data and in-memory caching to financial services: Big data analytics integration with financial models Predictive modeling can be improved significantly with big data analytics so it can better estimate business outcomes.
Knowledge Hut
DECEMBER 22, 2023
They ensure the quality of IT services while analyzing business requirements using data analytics. Hard Skills Data analysis: Technical business analysts must have strong data analytics skills. They must analyze complex data to identify trends and patterns. User stories or use cases. Test plans and cases.
Knowledge Hut
NOVEMBER 7, 2023
The applications of cloud computing in businesses of all sizes, types, and industries for a wide range of applications, including data backup, email, disaster recovery, virtual desktops big data analytics, software development and testing, and customer-facing web apps.
Knowledge Hut
JULY 7, 2023
Artificial Intelligence (AI) Java developers are increasingly integrating AI into their projects for data analytics and task automation. Contribute to Open-source Projects: Collaborating on open-source Java projects allows you to apply your skills, learn from experienced developers, and build a strong portfolio.
ProjectPro
JUNE 18, 2015
Enterprises that completely crowdsource data to make critical business decisions, definitely does have some loopholes. Table of Contents Big Data Analytics + Crowdsourcing = A Happy Couple Crowdsourcing Big Data How crowdsourcing helps ease the process of big data analytics?
ProjectPro
APRIL 1, 2016
(Source: [link] ) Hadoop is powering the next generation of Big Data Analytics. NetworkAsia.net Hadoop is emerging as the framework of choice while dealing with big data. Source: [link] ) Commvault Software, is enabling big data environments in Hadoop, Greenplum and GPFS. March 11, 2016. March 20, 2016. March 31, 2016.
ProjectPro
APRIL 19, 2021
The report also projected that 96% of the organizations are likely to hire permanent analysts with the relevant skillsets to fill the future big data analytics job roles. Apart from over half-million available analytic jobs, data analytic jobs are projected to grow 21.5% over the next decade.
Precisely
FEBRUARY 9, 2023
Using Dynamic Weather Data to Better Understand and Model Risk Technology is stepping in to help answer that question. Over the past 20 years, there have been significant advances in both weather technology and data analytics. Data analytics can also be a very powerful tool in detecting potential fraud.
Precisely
FEBRUARY 9, 2023
Using Dynamic Weather Data to Better Understand and Model Risk Technology is stepping in to help answer that question. Over the past 20 years, there have been significant advances in both weather technology and data analytics. Data analytics can also be a very powerful tool in detecting potential fraud.
Knowledge Hut
JANUARY 18, 2024
Tianchi Big Data Science Competition It is an annual international competition that challenges participants to develop innovative big data solutions. This year's competition focuses on three themes: intelligent infrastructure, health data analytics , and advanced manufacturing.
ProjectPro
JANUARY 20, 2016
Check Out Top SQL Projects to Have on Your Portfolio SQL Knowledge Required to Learn Hadoop Many people find it difficult and are prone to error while working directly with Java API’s. So, people who are not well-versed with Java programming but have good SQL skills can also learn Hadoop.
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