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Data Science

Data science is an interdisciplinary field that utilizes scientific methods, algorithms, and systems to analyze and interpret complex data, combining computer science, statistics, mathematics, and domain expertise.

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Topics to be covered

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Introduction to Data Science

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Data Collection and Cleaning

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Data Exploration and Visualization

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Data Manipulation and Analysis

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Machine Learning Basics

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Supervised Learning Algorithms

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Unsupervised Learning Algorithms

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Model Selection and Evaluation

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Natural Language Processing (NLP)

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Time Series Analysis

Latest developments in Data Science, Artificial Intelligence & Software Development.

#1

September 19, 2023

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DataPanthy #1

DeveLearn

September 19, 2023

Editor's Note :

Welcome to the very first edition of DataPanthy. In this fortnightly newsletter, we aim to share the latest developments in Data Science, Artificial Intelligence & Software Development. DeveLearn’s mission is the dissemination of knowledge in data-driven domains and to train and place young talent in this growing (& evolving) landscape. For our first issue, we’ve picked up some of the latest trends, essential tools, real-world applications, and career insights. We hope you find this issue both informative and inspiring.

Featured Article :

Title: What is Data Science - 2023 Edition

Let’s keep things simple and start from the basics. We've picked up a comprehensive guide to give you the complete ins & outs of this field, and most importantly, to help you understand - what to think when you think of Data Science.

Read More : https://hackr.io/blog/what-is-data-science

Data Science In The Wild

Title: Predictive Analytics In HealthCare

Ever thought about how exactly data science makes an impact in healthcare? We can picture the capabilities of AI in cutting edge diagnostics, but what about the more mundane data-intensive work.. “Foresee” is an instance of a company working precisely in predictive analytics, such as disease diagnosis, patient risk assessment, and drug discovery, showcasing the potential to save lives and improve patient care.

Read More :

https://www.foreseemed.com/predictive-analytics-in-healthcare#:~:text=What%20is%20predictive%20analytics%20in,be%20predictive%20of%20future%20events.

Resource Spotlight :

Title: "Awesome Machine Learning Interpretability" Summary: Machine learning interpretability is an essential aspect of building trust and understanding in predictive models. This curated list of resources provides a comprehensive collection of libraries, frameworks, papers, and articles that can help you dive deep into the field of machine learning interpretability.

Explore The List:

General Resources

Generative AI

Technical Resources

Evaluation and Standards

Community and Policy

Additional Resources

Featured Job : Data Scientist

Profectus Capital Pvt Ltd

Job Role : Undertaking data collection, preprocessing and analysis; Building models to address business problems (Credit Score Cards, Early Warning Signals, Cross Sell/Up Sell, Campaign Effectiveness)

Responsibilities

• Identify valuable data sources and automate collection processes.

• Undertake preprocessing of structured and unstructured data

• Analyze large amounts of information to discover trends and patterns.

• Build predictive models and machine-learning algorithms. Retrain the models.

• Present information using data visualization techniques.

• Collaborate with tech and product/policy teams to build relevant models.

Qualifications

• Bachelor's degree (Statistics, Computer Science, Engineering, etc.)

• At least 4 - 5 years of relevant experience

• Proven experience as a Data Scientist or Data Analyst

• Experience in data mining

• Understanding of machine-learning and operations research

• Knowledge of R, SQL and Python or SAS.

• Experience using business intelligence tools (e.g. Jasper, SAS, Tableau) and big data frameworks.

• Strong math skills (e.g. statistics, algebra

Apply Here : https://in.linkedin.com/jobs/view/data-scientist-at-profectus-capital-pvt-ltd-3717952839?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic

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