LinkedIn Learning path that offers the fundamental stages of data science work, from Statistics and Systems Engineering to Data Mining and Machine Learning, source, explore, and communicate with data through graphs and statistics.
This is a hands-on course for big data using Cloudera cluster and Hue to work with Hive database, create datamart for sample data engineering tasks like design of back office and client databases, facts , dimension tables , joining, creating views for ease of view
Applied statistics with lots of fun and exercises related to Mean, Median, Mode, Std. Deviation, Probability, Conditional probability, Bell Curve, Discrete and Continuous variables, Z-order and Z-order tables.
An exhaustive course covering Regression, Classifications, Clustering, Text Mining, Sequence analysis, Sentiment analysis, Text analysis, using tools like, R Studio, Jupyter Note book, Orange, KNIME, Big ML and RapidMiner
LinkedIn course that offers process of turning "facts and figures" into "story" to engage and fulfill our human expectation for information, by showing you how to think about, and craft, stories from data by examining many compelling stories in detail
Introduces the concepts related to edge analytics, and explains how edge analytics fit alongside big data, traditional data warehousing, and other analytical environments, demonstrates sample architectures and core technologies such as intelligent digital video and sensor-produced data. Review specific solutions from Intel, Cisco, and other vendors, and shows how edge analytics can be applied in four different use cases: retail, manufacturing, IT security and systems management, and energy exploration.
This is an exhaustive course from LinkedIn with courses from market leaders and big data professionals. It offers insights of the big data technologies, hands-on with various products from AWS, Google and Azure, with a focus on NoSQL DB like Hadoop, Hive, Spark, MongoDB, CouchDB, Cassandra, SQL Server 2016, AWS DynamoDB, Google BigTable and offers great details of the big data technology
This is a hands-on course for big data using Cloudera cluster and Hue to work with Hive database, create datamart for sample data engineering tasks like design of back office and client databases, facts , dimension tables , joining, creating views for ease of view
Applied statistics with lots of fun and exercises related to Mean, Median, Mode, Std. Deviation, Probability, Conditional probability, Bell Curve, Discrete and Continuous variables, Z-order and Z-order tables.
An exhaustive course covering Regression, Classifications, Clustering, Text Mining, Sequence analysis, Sentiment analysis, Text analysis, using tools like, R Studio, Jupyter Note book, Orange, KNIME, Big ML and RapidMiner
LinkedIn course that offers process of turning "facts and figures" into "story" to engage and fulfill our human expectation for information, by showing you how to think about, and craft, stories from data by examining many compelling stories in detail
Introduces the concepts related to edge analytics, and explains how edge analytics fit alongside big data, traditional data warehousing, and other analytical environments, demonstrates sample architectures and core technologies such as intelligent digital video and sensor-produced data. Review specific solutions from Intel, Cisco, and other vendors, and shows how edge analytics can be applied in four different use cases: retail, manufacturing, IT security and systems management, and energy exploration.
This is an exhaustive course from LinkedIn with courses from market leaders and big data professionals. It offers insights of the big data technologies, hands-on with various products from AWS, Google and Azure, with a focus on NoSQL DB like Hadoop, Hive, Spark, MongoDB, CouchDB, Cassandra, SQL Server 2016, AWS DynamoDB, Google BigTable and offers great details of the big data technology
This course shows how to use analytics to make data-driven decisions and gain competitive advantage,explore the differences between predictive and prescriptive analytics, and find out how to formulate questions,variety of simple techniques: averages, sampling, cherry picking, forecasting, and correlation and causality
An excel based data science course that offers insights of the new features like database functions, along with using advanced filters for the OR feature and many more that enables better data management and pre-processing
Offers insights of Data Governance, its needs, policies, maturity and processes needed to have an effective program to manage data. Introduction to ISACA data maturity model and methods to implement and manage the governance office
Helpful tips for using SQL , NoSQL databases, datwarehouse querying using aggregates, common table expressions, rollups, YoY, CTD and and many more financial related matters
This course teaches how to boost your emotional quotient (EQ) to better lead teams, work with peers, and manage up. Learn what emotional intelligence is and how it factors in at work, and discover concrete techniques for raising your own EQ. This includes perceiving yourself accurately, exercising emotional self-control, understanding and managing your triggers, and developing empathy
NexGen Solutions for cloud platforms, powered by GenQAIVijayananda Mohire
This is our next generation solutions powered by emerging technologies like AI, quantum computing, Blockchain, quantum cryptography etc. We have various offers that can help improved productivity, help automate and improve ease of doing business. We offer cloud based solutions and have a Hub to interface major cloud platforms.
This course shows how to use analytics to make data-driven decisions and gain competitive advantage,explore the differences between predictive and prescriptive analytics, and find out how to formulate questions,variety of simple techniques: averages, sampling, cherry picking, forecasting, and correlation and causality
An excel based data science course that offers insights of the new features like database functions, along with using advanced filters for the OR feature and many more that enables better data management and pre-processing
Offers insights of Data Governance, its needs, policies, maturity and processes needed to have an effective program to manage data. Introduction to ISACA data maturity model and methods to implement and manage the governance office
Helpful tips for using SQL , NoSQL databases, datwarehouse querying using aggregates, common table expressions, rollups, YoY, CTD and and many more financial related matters
This course teaches how to boost your emotional quotient (EQ) to better lead teams, work with peers, and manage up. Learn what emotional intelligence is and how it factors in at work, and discover concrete techniques for raising your own EQ. This includes perceiving yourself accurately, exercising emotional self-control, understanding and managing your triggers, and developing empathy
NexGen Solutions for cloud platforms, powered by GenQAIVijayananda Mohire
This is our next generation solutions powered by emerging technologies like AI, quantum computing, Blockchain, quantum cryptography etc. We have various offers that can help improved productivity, help automate and improve ease of doing business. We offer cloud based solutions and have a Hub to interface major cloud platforms.
This is our project work at our startup for Data Science. This is part of our internal training and focused on data management for AI, ML and Generative AI apps
This is our contributions to the Data Science projects, as developed in our startup. These are part of partner trainings and in-house design and development and testing of the course material and concepts in Data Science and Engineering. It covers Data ingestion, data wrangling, feature engineering, data analysis, data storage, data extraction, querying data, formatting and visualizing data for various dashboards.Data is prepared for accurate ML model predictions and Generative AI apps
Considering the need and demand for high quality digital platforms that can help clients to get the most of the newer technology, we have proposed an IT Hub that allows for rapid on boarding of clients to various modules on a need basis, allowing them to subscribe to modules they need only. We have various modules.
This document offers a high level overview of our IT Hub that offers various modules allowing for clients to onboard faster and get the benefits of a large set of vendor products, tools, IDE related to AI, Quantum and Generative AI technologies.
This is my hands-on projects in quantum technologies. These are few of the key projects that I worked with that demonstrates my skills in using various concepts, tools, IDE and deriving the solutions by using quantum principles like superposition, and entanglement along with quantum circuits in realizing the concepts
This is my journey taken from year 2012 on wards, after graduation in my MS with major in AI. I have taken various certification courses, trainings, hands-on labs; few key ones are from Google, and Microsoft.
Agricultural and allied industries play a vital role in the progress of a nation and sustainable economic growth. Farmers play a vital role in this progress. Their hard work and efforts need to be praised and possibly offer them various tools and digital assets that can automate some of their various repetitive tasks such as back office operations, crop monitoring, and post-harvesting routines that might divert the attention of farmers from their core job.
We, at Bhadale IT have developed various products and services that are revolutionary and can offer effective solutions with our industrial partnerships with digital technology leaders like Intel and Microsoft. We have drafted this solution brief to illustrate our products and service offerings for the agricultural industry. We can tailor make highly customized solutions to meet individual project and farmer needs that can include use of various technologies like artificial intelligence, machine learning, data science and related machinery like drones and geo-spatial datasets and various information that can offer precise farming techniques and use of technology in improving production, improvised use of fertilizers, organic farming and reduced crop loss due to rodents, insects and regional diseases.
The focus of this solution is for farmers to adopt and migrate to digital cloud platform to Microsoft Azure that can boost quality and quantity of crop production and improve their supply chain and offer faster and mature downstream business operations.
This is our cloud offerings based on our partnership and relationship with Intel and Microsoft. We offer highly optimized Intel motherboards, memory, and software stack that is best suited for Azure cloud platform and can handle various types of models (IaaS, PaaS, SaaS) and Azure workloads in the public or private cloud.
Explore the fundamentals of GitHub Copilot and its potential to enhance productivity and foster innovation for both individual developers and businesses. Discover how to implement it within your organization and unleash its power for your own projects.
In this learning path, you'll:
Gain a comprehensive understanding of the distinctions between GitHub Copilot for Individuals, GitHub Copilot for Business, and GitHub Copilot X.
Explore various use cases for GitHub Copilot for Business, including real-life examples showcasing how customers have leveraged it to boost their productivity.
Receive step-by-step instructions on enabling GitHub Copilot for Individuals and GitHub Copilot for Business, ensuring a seamless integration into your workflows.
Practical ChatGPT From Use Cases to Prompt Engineering & Ethical ImplicationsVijayananda Mohire
This journey provides learners with a thorough exploration of ChatGPT, starting with an introduction to large language models and their capabilities, the series progresses through practical applications, advanced techniques, industry impacts, and important ethical considerations. Each course aims to equip learners with an in-depth understanding of the model, its functionality, and its wide-ranging applications.
Red Hat Enterprise Linux (RHEL) and Hybrid Cloud Infrastructure. Products that are developed for multi-cloud hybrid platform enabling seamless integration and portability of workloads across Red Hat and partner Infrastructure, public and private clouds.
Learners will be exposed to the foundations of Red Hat, Red Hat Enterprise Linux (RHEL) portfolio including Hybrid Cloud Infrastructure, how to identify target customers, distinguish Red Hat solutions from the competition, review key use cases, align to the sales conversation framework for positioning the solutions, and much more!
Upon completing this learning path, learners will receive the Red Hat Sales Specialist - Red Hat Enterprise Linux accreditation and be prepared to advance to the Red Hat Sales Specialist - Red Hat Enterprise Linux II learning path
This is my annual learning at Red Hat related to accreditation and courses at Red Hat partner training portal.
Learners will be exposed to the foundations of Red Hat, Red Hat Enterprise Linux (RHEL) portfolio including Hybrid Cloud Infrastructure, how to identify target customers, distinguish Red Hat solutions from the competition, review key use cases, align to the sales conversation framework for positioning the solutions, and much more!
Generative AI is a cutting-edge technology that will transform nearly every business function, ranging from content creation and product design, to improving customer experience and marketing new ideas. While the benefits of Generative AI are immense, the technology has its limitations and poses some ethical considerations. In this Journey, learners of all levels will develop a shared understanding of what Generative AI is, the guardrails for use and identify of how to use, build and experiment with the technology in a responsible manner. Learners will also develop skills for leading through this disruption with empathy, while cultivating the human skills to sustain the transformation
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Empowering the Data Analytics Ecosystem: A Laser Focus on Value
The data analytics ecosystem thrives when every component functions at its peak, unlocking the true potential of data. Here's a laser focus on key areas for an empowered ecosystem:
1. Democratize Access, Not Data:
Granular Access Controls: Provide users with self-service tools tailored to their specific needs, preventing data overload and misuse.
Data Catalogs: Implement robust data catalogs for easy discovery and understanding of available data sources.
2. Foster Collaboration with Clear Roles:
Data Mesh Architecture: Break down data silos by creating a distributed data ownership model with clear ownership and responsibilities.
Collaborative Workspaces: Utilize interactive platforms where data scientists, analysts, and domain experts can work seamlessly together.
3. Leverage Advanced Analytics Strategically:
AI-powered Automation: Automate repetitive tasks like data cleaning and feature engineering, freeing up data talent for higher-level analysis.
Right-Tool Selection: Strategically choose the most effective advanced analytics techniques (e.g., AI, ML) based on specific business problems.
4. Prioritize Data Quality with Automation:
Automated Data Validation: Implement automated data quality checks to identify and rectify errors at the source, minimizing downstream issues.
Data Lineage Tracking: Track the flow of data throughout the ecosystem, ensuring transparency and facilitating root cause analysis for errors.
5. Cultivate a Data-Driven Mindset:
Metrics-Driven Performance Management: Align KPIs and performance metrics with data-driven insights to ensure actionable decision making.
Data Storytelling Workshops: Equip stakeholders with the skills to translate complex data findings into compelling narratives that drive action.
Benefits of a Precise Ecosystem:
Sharpened Focus: Precise access and clear roles ensure everyone works with the most relevant data, maximizing efficiency.
Actionable Insights: Strategic analytics and automated quality checks lead to more reliable and actionable data insights.
Continuous Improvement: Data-driven performance management fosters a culture of learning and continuous improvement.
Sustainable Growth: Empowered by data, organizations can make informed decisions to drive sustainable growth and innovation.
By focusing on these precise actions, organizations can create an empowered data analytics ecosystem that delivers real value by driving data-driven decisions and maximizing the return on their data investment.
Ch03-Managing the Object-Oriented Information Systems Project a.pdf
Become a data scientist
1. Certificate of Completion
Congratulations, Vijayananda Mohire
Become a Data Scientist
Learning Path completed on Dec 14, 2020 at 02:04PM UTC • 17 hours 13 min
By continuing to learn, you have expanded your perspective, sharpened your
skills, and made yourself even more in demand.
Top skills covered
Data Visualization, Data Analysis, Big Data, Statistics
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LinkedIn Learning
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Certificate Id: AYoJjCwidussMpM6oBSh9p5AgosO