Microsoft Data Science Training

Microsoft Data Science Training Embark on a transformative journey with Microsoft Data Science , an integral domain in today's technology-driven landscape. Data science leverages advanced analytics and machine learning to extract valuable insights from complex data, driving data-driven decision-making across industries.

The importance of Data Science cannot be overstated in an era where big data reigns supreme. It empowers organizations to predict trends, enhance operational efficiency, and personalize customer experiences. By mastering Microsoft's powerful suite of data analytics tools , professionals can unlock actionable insights from large datasets, a skill highly sought after in the job market.

Learning Data Science with Microsoft's technologies equips you with expertise in SQL Server , Azure Machine Learning , and Power BI , tools used by leading corporations like LinkedIn, Dell, and Adobe. These platforms are pivotal for roles such as Data Analysts, Business Intelligence Specialists, and Machine Learning Engineers.

With real-world applications spanning finance, healthcare, and retail, understanding Data Science is crucial. It enables companies to forecast sales, detect fraud, improve patient outcomes, and customize shopping experiences.

At Koenig Solutions, we provide comprehensive training to help you become proficient in Microsoft Data Science, enhancing your career prospects in this innovative and ever-evolving field. Join us to become part of the next wave of data science professionals driving the future of technology.

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Microsoft Data Science Courses

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History of Microsoft Data Science

History

The journey of Microsoft Data Science has evolved significantly since the inception of big data and analytics . Microsoft, a leader in technology, recognized the potential of data science early on and has been at the forefront of developing tools and platforms to harness the power of data for business intelligence and decision-making . In the late 2000s, with the surge of cloud computing , Microsoft Azure was introduced, which further propelled the growth of data science by providing scalable and accessible computing resources.

In 2015, Microsoft launched Azure Machine Learning, a pivotal moment in making advanced analytics more accessible to organizations worldwide. Since then, Microsoft has continuously updated its data science toolkit , integrating AI and machine learning capabilities, and fostering a community through its Microsoft Certified: Data Scientist program.

Developments in Microsoft's approach to data science are intertwined with the evolution of SQL Server and the introduction of Power BI , tools that democratize data analytics. These offerings have empowered companies to transform data into actionable insights, fostering a culture of data-driven innovation. Microsoft's contribution to the open-source community with ML.NET and its commitment to ethical AI are other noteworthy milestones that reflect its influence on the industry.

As we continue to witness advancements in technology, Microsoft's role in shaping the future of data science remains critical, with ongoing developments aimed at enhancing performance , user experience , and collaboration among data professionals.

Recent Trends in Microsoft Data Science

Trends in Microsoft Data ScienceThe field of Data Science is rapidly evolving, with Microsoft at the forefront of this transformation. Artificial Intelligence (AI) and Machine Learning (ML) are reshaping data analysis and predictive modeling, leading to smarter business solutions. Microsoft's integration of AI into Azure and its services for advanced analytics is a testament to this trend. In particular, Azure Machine Learning is gaining traction for its seamless workflow and scalable deployment options, making it easier for data professionals to build and manage models. Moreover, the development of Power BI has democratized data, offering powerful visualization tools that turn complex data sets into actionable insights.Another significant advancement is the emergence of AutoML within Azure, simplifying model building for non-experts and saving valuable time. Additionally, cloud computing advancements are enabling more secure and efficient data storage and access, revolutionizing how data science operations are performed.Keeping up with these trends, Koenig Solutions offers comprehensive training to help you harness the full potential of Microsoft's cutting-edge data science technologies.

Ans - No, the published fee includes all applicable taxes.

Yes, Microsoft Data Science certification training courses train working professionals in data science and how they can use Microsoft Azure to design and implement various data science and machine learning-driven solutions to their organization. With enterprises becoming more and more data-centric, there is a critical demand for certified data science professionals across industry sectors. The average salary for a data science professional is USD 81,000 to USD 162,000 per annum in the US.

Candidates who want to apply for the DP-100T01: Designing and Implementing a Data Science Solution on Azure certification training course need to have cleared the Azure Fundamentals certification course or have equivalent work experience using Azure.
They need to have prior knowledge of data science and its processes and should know how to deploy machine learning models for data analysis.
Prospective candidates also need to know Python and how to use the Python libraries.

The DP-100T01: Designing and Implementing a Data Science Solution on Azure certification exam price is USD 165.

Yes, Koenig Solutions is an accredited Microsoft Gold Partner to deliver this Data Science certification training for participants across the globe.

Participants who take up the Microsoft Data Science certification course will receive:

A copy of the Microsoft Data Science course material
Sample Practice tests, case studies, and lab sessions
Data Science course completion certificate

The candidate gets tested on the following skills for their DP-100T01: Designing and Implementing a Data Science Solution on Azure certification exam:

How to set up a Microsoft Machine Learning Workspace using Azure (30-35% exam weightage)
How to run experiments and train models (25-30% exam weightage)
How to manage models and optimize them (20-25% exam weightage)
How to deploy the models and consume them (20-25% exam weightage)

Participants can take up their Microsoft Data Science certification training across four different learning modes that include live online, classroom, on-site, and 1-on-1 training.