17Apr

Chief Privacy Officer at SCAN Health Plan


About SCAN 

 

SCAN Group is a not-for-profit organization dedicated to tackling the most pressing issues facing older adults in the United States. SCAN Group is the sole corporate member of SCAN Health Plan, one of the nation’s leading not-for-profit Medicare Advantage plans, serving more than 285,000 members in California, Arizona, Nevada, and Texas. SCAN has been a mission-driven organization dedicated to keeping seniors healthy and independent for more than 40 years and is known throughout the healthcare industry and nationally as a leading expert in senior healthcare. SCAN employees are a group of talented, passionate professionals who are committed to supporting older adults on their aging journey, while also innovating healthcare for seniors everywhere. Employees are provided in-depth training and access to state-of-the-art tools necessary to do their jobs, as well as development and growth opportunities. SCAN takes great pride in recognizing our team members as experts in their fields and rewarding them for their efforts. If you are interested in becoming part of an organization that is innovating senior healthcare visit www.thescangroup.orgwww.scanhealthplan.com, or follow us on LinkedInFacebook; and Twitter.

 

The Job

Responsible for developing, implementing, and overseeing SCAN’s privacy function in accordance with governing federal and state laws and regulations and information security breach and business continuity disruption events.

 

You Will

Responsible for evolving privacy and data protection strategy, including developing and communicating privacy policies and practices, performing risk assessments, monitoring ongoing compliance in coordination with our compliance and operational assessment functions, and collaborating with the Chief Information Security Officer and Chief Risk Officer to ensure compliance with applicable federal and state regulations.

Partner with SCAN Health Plan operational teams and SCAN affiliates to implement privacy implement privacy and date controls, and communicating privacy best practices for member/patient, employee, partner and vendor personal information.

Serve as the dedicated privacy subject matter expert and go-to resource for all organizational departments.

Monitor and advise on potential business impact of proposed changes to U.S. privacy and date security laws and regulations.

Assess and respond to potential privacy and security risks and ensure compliance with regulatory requirements.

Partner with the compliance and information security teams on compliance best practices across all aspects of data protection laws, including employee data, member/patient data, business data, data retention, data security and data breaches.

Review collection, use and transfers of data, business associate agreements and policies and disclosures.

Support organization engagement with government, industry and peer groups on privacy and data security issues.

Provide education and ongoing training to drive organizational and employee awareness around privacy and data security issues, including developing and delivering training.

Manage privacy incident determination, response and notification processes and drive investigation of and response to privacy incidents and complaints.

Maintain and evolve privacy program metrics and KPIs.

Manage privacy team.

Other duties as assigned.

 

Your Qualifications

  • Bachelor’s degree or equivalent experience required. Juris Doctor from an accredited law school is preferred.
  • Privacy or information security certifications (e.g., CIPP, CIPT, CISSP) are preferred.
  • Must have at least five (5) years of HIPAA work experience is required.
  • Must have at least ten (10) years of experience in privacy and compliance in the healthcare industry.
  • Must have at least three (3) years of experience supervising and managing staff.
  • Established track record for developing talent, cultivating team culture, managing people and projects, and leading within and across organizations.
  • Excellent verbal and written communication skills, impeccable integrity, good judgment, strong analytical skills, flexible, pragmatic, and a keen sense of humor.
  • Collaborative by nature and able to build strong partnerships.
  • Comfortable in a fast-paced environment and ability to manage and prioritize a diverse and complex workload.
  • Ability to influence beyond authority in a complex and matrixed organization.
  • Demonstrable ability to drive global, enterprise-wide policies and practices.
  • Demonstrate ability to support and collaborate with cross-functional executives (C-suite, etc.)

 

What’s in it for you?

  • Base Pay Range: $200,000.00 to $225,000.00 annually
  • Work Mode: Remote
  • An annual employee bonus program
  • Robust Wellness Program
  • Generous paid-time-off (PTO)
  • 11 paid holidays per year, 1 floating holiday, birthday off, and 2 volunteer days
  • Excellent 401(k) Retirement Saving Plan with employer match
  • Robust employee recognition program
  • Tuition reimbursement
  • An opportunity to become part of a team that makes a difference to our members and our community every day!

 

 

We’re always looking for talented people to join our team!  Qualified applicants are encouraged to apply now!

 

At SCAN we believe that it is our business to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects our community through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more.

 

SCAN is proud to be an Equal Employment Opportunity and Affirmative Action workplace. Individuals seeking employment will receive consideration for employment without regard to race, color, national origin, religion, age, sex (including pregnancy, childbirth or related medical conditions), sexual orientation, gender perception or identity, age, marital status, disability, protected veteran status or any other status protected by law. A background check is required.

#LI-JA1

#LI-Remote





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17Apr

AutoCodeRover: An Automated Artificial Intelligence AI Approach for Solving Github Issues to Autonomously Achieve Program Improvement


Large Language Models (LLMs) have significantly advanced such that development processes have been further revolutionized by enabling developers to use LLM-based programming assistants for automated coding jobs. Writing code is only one aspect of software engineering; another is ongoing program improvement to support feature additions and issue fixes, as well as software evolution.

In recent research, a team of researchers from the National University of Singapore has provided an automated method for handling GitHub issues in order to automatically improve the quality of programs by adding new features and fixing bugs. The approach, known as AutoCodeRover, combines advanced code search capabilities with LLMs to produce program patches or updates. 

Using abstract syntax trees (ASTs) in particular, the team has concentrated on program representation rather than viewing a software project as merely a collection of files. Through iterative search operations, their code search methodology effectively facilitates effective context retrieval by leveraging the program’s structure, including classes and methods, to improve the LLM’s understanding of the issue’s fundamental cause.

The foundation for the work is SWEbench-lite, a recent benchmark made out of 300 actual GitHub issues pertaining to feature additions and bug fixes. The outcomes of tests run on SWEbench-lite have shown how much more effective this method is at solving GitHub issues than previous attempts by the AI community by over 20%. In less than ten minutes on average, this approach fixed 67 GitHub issues; by comparison, the average developer took almost 2.77 days to resolve one issue.

The team has summarized their primary contributions as follows.

  1. The team has emphasized on working with program representations, particularly abstract syntax trees. This strategy is considered essential for promoting self-sufficient software engineering processes, emphasizing the significance of exploring the structural properties of code in greater detail.
  1. The study focuses on approaches to code search that imitate how software programmers think. Using program structures like classes, methods, and code snippets helps LLMs use context more efficiently by making the process of finding pertinent code context more like human thinking.
  1. The team has stressed the significance of giving automated repair’s effectiveness the upper hand over time efficiency, as long as realistic time criteria are met. They imposed a 10-minute time constraint on automated repair and found that it was 22% effective in fixing GitHub issues on SWE-bench-lite. This is far faster than the 2.77-day average for manual resolution.
  1. When addressing GitHub issues, the search for code has been guided by the integration of debugging and analysis techniques, specifically test-based fault localization. With this integration, efficacy has increased significantly; a single AutoCodeRover run on SWE-bench-lite shows a rise from 16% to 20%.

In conclusion, this approach opens the door for autonomous software engineering by anticipating a time when auto-generated code from LLMs can be automatically enhanced. With AutoCodeRover, overall productivity can be increased, and the software development process can be optimized by automating actions related to program enhancement, such as adding new features and correcting bugs.


Check out the PaperAll credit for this research goes to the researchers of this project. Also, don’t forget to follow us on Twitter. Join our Telegram Channel, Discord Channel, and LinkedIn Group.

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Tanya Malhotra is a final year undergrad from the University of Petroleum & Energy Studies, Dehradun, pursuing BTech in Computer Science Engineering with a specialization in Artificial Intelligence and Machine Learning.
She is a Data Science enthusiast with good analytical and critical thinking, along with an ardent interest in acquiring new skills, leading groups, and managing work in an organized manner.






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16Apr

Senior Consultant, Marketing Mix Modelling (MMM) & Data


London – Senior Consultant, Strategy & Data Science in Marketing Mix Modelling (MMM)

Ekimetrics UK

Job Description

 

Ekimetrics is a leader in data science and AI-powered solutions. Since 2006, we’ve pioneered the use of AI and data science applied to unified marketing measurement and holistic business optimization aligned with sustainability performance.

 

Our goal: Combine high-impact AI and data science solutions for sustainable business performance.

At Ekimetrics, we have the ambition to help our clients rethink their business models by reconciling economic, environmental and social performance through data science.

📊Key figures about Ekimetrics

·        400 data science experts globally (50+ in the UK)

·        1000 diverse projects for more than 350 clients

·        4 offices: Paris, Hong Kong, London and New York

·        $1 billion in profits generated for our clients since 2006.

·        7000 tons of CO2 prevented by our clients in 2022.

·        UK data company of the year 2023

·        Voted Great Place to Work 2023

·        Microsoft’s sustainability partner

·        Voted as a leader in “Marketing Measurement and Optimization” by Forrester wave 2023

Why are we hiring?

 

As we continue to grow, bringing on new global clients, we are looking for a manager to join our London office. We want to strengthen our market optimization offering which focuses on “Marketing Effectiveness” and “Marketing Measurement”. We support clients with detailed recommendations that can be acted upon immediately, as well as on longer-term brand strategies, reconnecting immediate and future business impact.

 

Your role in the team

As a Senior Consultant, you will be expected to work in various teams to service global clients, on key accounts, across multiple continents to deliver marketing and customer analytics projects that will lead to significant, value-led transformations. You will support Managers by acting as project lead for our clients. You will gain a deep understanding of their needs and offer the most effective solutions, providing impactful and useful insights to help steer their revenue or data strategies, and building long-term relationships.

Embedded in the core of this position lies your expertise in Marketing Mix Modelling. You will be responsible for steering the client, and delivery of BMC’s and MMM models. Whilst you may not generate these models directly you will need prior knowledge of MMM and modelling platforms. Your role will require you to navigate these insights into compelling stories that resonate with both technical and non-technical stakeholders.

 

Overview

·        Use your knowledge and experience In Marketing Mix Modelling (MMM) to make business-led decisions

·        Create real valuable actionable insights for clients defining their marketing and strategic direction.

·        Lead projects with globally recognised brands

·        Manage and lead end-to-end analytics projects, including planning, design, and implementation.

·        Lead a team of 3-8 consultants. 

About You

 

We are looking for someone who can show both advanced analytics skills and a strong interest in marketing & business strategy. Ideally, you’ll have:

·        Strong Knowledge and experience in Marketing Mix Modelling (MMM)

·        Experience working across large data sets

·        Understanding of media variables/econometrics and prior modelling experience.

·        Experience working with clients and account management

·        Knowledge and/or understanding of Coding languages such as Python or R – we use Python at Eki

·        Proficiency in Microsoft Office software such as Word, PowerPoint, and Excel

·        Degree in Economics/Econometrics, Maths/Statistics, Business Analytics, Data Science or a related field

·        Interest in working in a fast-paced and driven consultancy environment.

·        Clear and concise communication

 

Working for Eki

 

Working for Ekimetrics is a lot of fun! We have clients across multiple industries and are constantly looking to innovate and explore new ways of doing things. Our London team consists of ~50 people and are predominantly Data Science Consultants. We come from all over the world, have varied experiences and passions, and all contribute value to Ekimetrics’ success.

 

We encourage continuous self-development and thought leadership throughout Ekimetrics and foster a culture of transmission and pleasure – we love what we do, and we want to share it!

 

As well as an opportunity to join a driven, energetic, and highly innovative team, we also offer the following:

·        Hybrid working (2 days a week in the office)

·        25 days annual leave (+ Bank Holidays and additional days for tenure)

·        Private healthcare, life insurance, critical illness cover, and professional wellbeing support services (all on entry)

·        Regular socials and events

·        Group pension scheme

·        An emphasis on work-life-balance and a strong company culture

·        Opportunities to develop a dual profile in data science and strategic consulting.

·        Unique training programs and learning opportunities.

·        Opportunities for international mobility

 

Our recruitment process

🔸 HR intro interview with a Talent Acquisition Specialist/Recruiter

🔸 Interview with a Senior Consultant or Manager – Technical discussion and overview of Ekimetrics

🔸 Case study interview with a Manager+

🔸 Final interview with a Senior Manager/Partner

We would be delighted to provide you with further information during an interview and look forward to receiving your application!

 

__________________________________________________________________________________

 

At Ekimetrics, we believe our best assets are our people – they are what set us apart and drive our success. We encourage entrepreneurial spirit and innovation. We share what we know with others, and, above all, we love what we do. These sentiments are supported by our company values which serve as pillars in our work and attitude.

Follow our Ekimetrics’ values: Curiosity, Creativity, Excellence, Transmission and Pleasure.

 

Ekimetrics is an equal opportunities employer committed to making all employment decisions without regard to race, ethnicity, gender, pregnancy, gender identity or expression, creed, religion, nationality, age, disability, marital status, sexual orientation, military veteran status, current employment status, or any other legally protected categories, subject to applicable law.



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16Apr

Services Solutions Principal for Data, Data Science,


Services Solutions Principal for Data, Data Science, AI, GenAI & ML

Are you an experienced Services Solutions Principal who could provide presales advices for  game-changing, enterprise-wide Data, Data Science, AI, GenAI & ML Transformation services? Do you want to be a hero to Dell´s customers by delivering outcomes for their complex Data & AI, GenAI & ML use cases?

The Solutions Principal works within our Dell Technologies Services (DTS) Presales team. They are responsible for leading the Data, Data Science, AI, GenAI & ML services solution definition in close alignment with the Services Sales, Services Solutioning, Services Delivery Teams, Solution Partners and in collaboration with product account teams to position the Dell solution that best meets customer requirements and expected outcomes. Our Services support the entire solution lifecycle  and its Strategize, Implement, Adopt and Scale phases and span across our Consulting, Deployment, Residency and Managed services.

Join us to do the best work of your career and make a profound social impact as a EMEA Services Solutions Principal for Data, Data Science, AI, GenAI & ML on our Dell Technologies EMEA Services Presales Specialty team.

What you’ll achieve:

This is a senior, presales, customer facing role. The Services Solutions Principal will lead the development of client presentations up to C-level management, workshops, Services Solution design, Services responses to Requests for Proposal (RFPs), Statements of Work (SOW) creation and review, effort estimation and transition of work to the delivery organization through appropriate practice management.

You Will:

  • Engage in highly complex accounts and will lead customer presentations and workshops at the senior leadership level by articulating the transformation journey in both business value and technology terms with a focus on Data, Data Science, AI/GenAI & ML services.
  • Be part of an EMEA team of Solutions Principals and work on opportunities across EMEA. You will also support the country-based Services Solutions Principals with your subject matter expertise.
  • Be recognized for your Services solution presales subject-matter expertise in the area of Data, Data Science, AI/GenAI & ML.
  • Contribute to business results through quality of solution, advice and decisions. You will be an evangelist for Data, Data Science, AI/GenAI & ML services solutions within Dell Technologies and in the market. You represent Dell Technologies Services in the Dell Technologies organization through internal presentations, programs, community/practice leadership, training and enablement. Work with services portfolio teams on new offers and with business development on sales campaigns.

Take the first step towards your dream career.

Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

Essential Requirements

  • 10+ years services presales experience of acting as a solution lead, presales consultant, solution architect or similar and proven skills and experience in constructing services solutions (requirements gathering, scope services, assemble effort estimates, plan programs and work packages, write SoW, answer RFI/RFP) for customers, typically in the large Enterprise and/or Government Sectors. Thorough understanding of a services P&L and cash flow development (including business impact), risk analysis and commercial models such as Fixed Price, T&M and incorporation of 3rd party contracts in Waterfall and Agile project approaches.
  • Proven experience in client facing roles and effectively influencing at all levels (up to CxO) with ability to construct, tailor, and negotiate service contracts (e.g. Statements of Work) for both customer engagement and partner provisioning
  • Excellent knowledge of the Data, Data Science, AI/GenAI & ML services, marketplace, use cases, concepts and technologies and respective Transformation Programs, e.g. Data  Stratgy, Data Governance, Data Management, Data Preparation, Data Architecture, Data Engineering, Data Analytics, Data Science, Neural Networks, Natural Language Processing, Large Language Models, AI inferencing, AI training methodologies, key application architecture and integration concepts, container- and virtualization architetctures and platforms, AIOPs, MLOPs.
  • Exceptional consultative presales skills, including methods, tools and techniques to apply within an IT transformation context; excellent communication skills at least in English (verbal/written); ability to run customer workshops and executive briefings; ability to work across EMEA in an international environment (physical/virtual)

Desirable Requirements

  • Working knowledge of Dell Technologies product and services portfolio relevant to Data, Data Science, AI/GenAI & ML
  • Practical service delivery experience and relevant certifications in the area of Data, Data Science, AI/GenAI & ML

Here’s our story; now tell us yours

Dell Technologies helps organizations and individuals build a brighter digital tomorrow. Our company is made up of more than 150,000 people, located in over 180 locations around the world. We’re proud to be a diverse and inclusive team and have an endless passion for our mission to drive human progress.

What’s most important to us is that you are respected, feel like you can be yourself and have the opportunity to do the best work of your life — while still having a life. We offer excellent benefits, bonus programs, flexible work arrangements, a variety of career development opportunities, employee resource groups, and much more.

We started with computers, but we didn’t stop there. We are helping customers move into the future with multi-cloud, AI and machine learning through the most innovative technology and services portfolio for the data era. Join us and become a part of what’s next in technology, starting today.

You can also learn more about us by reading our latest Diversity and Inclusion Report and our plan to make the world a better place by 2030 here.

Dell is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at Dell are based on business needs, job requirements and individual qualifications, without regard to race, color, religion or belief, national, social or ethnic origin, sex (including pregnancy), age, physical, mental or sensory disability, HIV Status, sexual orientation, gender identity and/or expression, marital, civil union or domestic partnership status, past or present military service, family medical history or genetic information, family or parental status, or any other status protected by the laws or regulations in the locations where we operate. Dell will not tolerate discrimination or harassment based on any of these characteristics. Dell encourages applicants of all ages. Read the full Equal Employment Opportunity Policy here.



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16Apr

Researchers at Stanford Propose a Family of Representation Finetuning (ReFT) Methods that Operates on a Frozen Base Model and Learn Task-Specific Interventions on Hidden Representations


Pretrained language models (LMs) are commonly finetuned to adapt them to new domains or tasks, a process known as finetuning. While finetuning allows for adaptation to various functions with small amounts of in-domain data, it can be prohibitively expensive for large LMs. 

Parameter-efficient finetuning (PEFT) methods offer a solution by updating only a fraction of the weights, reducing memory usage and training time. Adapters, a common PEFT approach, learn edits that can be added to a subset of model weights or operate alongside the frozen base model. Recent advancements like LoRA and its variants reduce the number of trainable parameters by using low-rank approximations during adapter training.

However, a significant aspect of current PEFT methods is their focus on modifying weights rather than representations, despite prior research indicating that representations encode rich semantic information. Representation Finetuning (ReFT) methods have been proposed in response to this by a team of researchers from Stanford and Pr(Ai)2R Group.

Instead of adapting model weights, ReFT methods train interventions to manipulate a small fraction of model representations, steering model behaviors to solve downstream tasks at inference time. Their approach draws inspiration from recent work in LM interpretability, which intervenes on representations to identify causal mechanisms and steer model behaviors at inference time.

One notable instance of the ReFT family is the Low-rank Linear Subspace ReFT (LoReFT), which intervenes on hidden representations in the linear subspace spanned by a low-rank projection matrix. LoReFT builds directly on existing methods like distributed alignment search (DAS), demonstrating state-of-the-art performance on various benchmarks while using significantly fewer parameters than traditional PEFT methods. Their results suggest that ReFT methods offer more efficient and effective alternatives to weight-based PEFTs, deserving further exploration across different model families and domains.

Future research directions for ReFT include exploring its effectiveness on other model families and vision-language models and automating hyperparameter search. Additionally, investigating more effective interventions for specific tasks and exploring the power of learned orthogonal subspaces are areas of interest. ReFT advances neural network interpretability research and contributes insights back to the field, challenging traditional approaches to interpreting individual neurons in isolation.

In terms of evaluation practices, it’s essential to establish benchmarks that allow for fair comparisons of PEFTs and ReFTs, including compute- or time-matched hyperparameter-tuning comparisons and disallowing tuning or model selection based on the test set to mitigate overfitting and ensure real-world performance assessment.


Check out the Paper and GithubAll credit for this research goes to the researchers of this project. Also, don’t forget to follow us on Twitter. Join our Telegram Channel, Discord Channel, and LinkedIn Group.

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Arshad is an intern at MarktechPost. He is currently pursuing his Int. MSc Physics from the Indian Institute of Technology Kharagpur. Understanding things to the fundamental level leads to new discoveries which lead to advancement in technology. He is passionate about understanding the nature fundamentally with the help of tools like mathematical models, ML models and AI.






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15Apr

This AI Paper from SambaNova Presents a Machine Learning Method to Adapt Pretrained LLMs to New Languages


The rapid advancement of large language models has ushered in a new era of natural language processing capabilities. However, a significant challenge persists: most of these models are primarily trained on a limited set of widely spoken languages, leaving a vast linguistic diversity unexplored. This limitation not only restricts the accessibility of cutting-edge language technologies but also perpetuates a technological divide across linguistic communities.

Researchers have tackled this challenge in this study by proposing a novel AI method named SambaLingo. This approach aims to adapt existing, high-performing language models to new languages, leveraging the strengths of pre-trained models while tailoring them to the unique characteristics of the target language.

Previous efforts to address this issue have primarily focused on training monolithic multilingual or language-specific models from scratch. However, these approaches face significant hurdles, including the curse of multilinguality, data scarcity, and the substantial computational resources required. Adapting English-centric models to new languages has emerged as a promising alternative, demonstrating the potential to outperform language-specific models pre-trained from scratch.

The SambaLingo methodology begins with the selection of a suitable base model that has already exhibited exceptional performance in its initial language. In this study, the researchers chose the open-source Llama2 7B model, renowned for its English language capabilities, as their starting point.

To effectively capture the linguistic nuances of the target language, the researchers expanded the model’s vocabulary by adding non-overlapping tokens from the target language and initializing them using sub-word embeddings from the original tokenizer. This crucial step ensures that the model can accurately tokenize and represent the new language, paving the way for seamless adaptation.

Next, the researchers employed a continual pre-training approach, feeding the model a carefully curated mixture of English and target language web data sourced from CulturaX. The data mixture followed a 1:3 ratio, biased towards the target language, to strike a delicate balance between preserving the model’s existing knowledge and adapting it to the new linguistic landscape.

To further enhance the model’s alignment with human preferences, the researchers implemented a two-stage process: supervised fine-tuning (SFT) and direct preference optimization (DPO). During SFT, they utilized the ultrachat-200k dataset and its machine-translated version. For DPO, they employed ultra feedback and cai-conversation-harmless datasets, blending them with a 10:1 ratio of English to machine-translated data.

The researchers rigorously evaluated the SambaLingo models across various tasks and languages, including language modeling, translation, text classification, open-book and closed-book question answering, and various natural language understanding benchmarks as shown in Table 1. The models were tested on nine typologically diverse languages: Arabic, Thai, Turkish, Japanese, Hungarian, Russian, Bulgarian, Serbian, and Slovenian.

Across multiple benchmarks, the SambaLingo models consistently outperformed existing state-of-the-art models in these languages. For instance, on the perplexity benchmark, which measures language modeling performance, the SambaLingo models achieved lower perplexity scores than all existing baselines on a held-out set from their training data (Figure 1). Furthermore, when scaled to the larger Llama2 70B parameter scale, the SambaLingo models exhibited even better performance, surpassing their 7B counterparts across multiple benchmarks, despite being trained on fewer tokens.

To validate the quality of the model’s outputs and their alignment with human preferences, the researchers employed GPT-4 as an impartial judge, evaluating the model’s responses to real user prompts. The results were promising, with SambaLingo consistently outperforming other models in the same languages, as judged by GPT-4’s preferences and logical explanations.

In summary, the SambaLingo methodology represents a significant stride towards democratizing artificial intelligence across linguistic diversity. By leveraging the strengths of existing high-performing models and tailoring them to new linguistic landscapes, this approach offers a scalable and efficient solution to the challenge of language barriers. With its state-of-the-art performance and alignment with human preferences, SambaLingo paves the way for a future where the benefits of AI transcend linguistic boundaries, fostering inclusivity and accessibility for all.


Check out the PaperAll credit for this research goes to the researchers of this project. Also, don’t forget to follow us on Twitter. Join our Telegram Channel, Discord Channel, and LinkedIn Group.

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Vineet Kumar is a consulting intern at MarktechPost. He is currently pursuing his BS from the Indian Institute of Technology(IIT), Kanpur. He is a Machine Learning enthusiast. He is passionate about research and the latest advancements in Deep Learning, Computer Vision, and related fields.






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14Apr

Top Data Analytics Books to Read in 2024


In today’s data-driven world, data analytics plays a key role in helping organizations make better decisions, identify opportunities, and mitigate risks. Data analytics enables businesses to gain insights into customer preferences and market dynamics, enhancing overall performance. As such, the demand for competent analysts has increased significantly over the past few years. This article lists the top data analytics books one should read in 2024 to augment one’s skills and stay ahead in this rapidly evolving field.

Python for Data Analysis

“Python for Data Analysis” is a comprehensive guide to manipulating, processing, and cleaning datasets in Python. It covers the tools to load, clean, transform, merge, and reshape data, focusing on libraries like Pandas and Numpy. The book also teaches how to solve real-world problems with detailed examples.

Fundamentals of Data Analytics

This book is a guide to the data analytics process, providing a five-step framework to help readers start the journey of analyzing data. The book covers the data mining and machine learning principles and provides strategies to build a problem-solving mindset.

Data Analytics for Absolute Beginners

This book is aimed at beginners and provides an introduction to data, data visualization, business intelligence, and statistics. The book consists of numerous practical and visual examples, along with coding exercises in Python. It also covers some of the machine learning concepts like regression, classification, and clustering.

Everything Data Analytics

“Everything Data Analytics” is a beginner’s guide to data literacy that helps understand the process of turning data into insights. The book covers the process of data collection, management, and storage, along with the essential machine-learning algorithms necessary for analysis, like regression, classification, and clustering.

SQL for Data Analysis

“SQL for Data Analysis” covers improving one’s SQL skills and making the most of SQL as part of their workflow. The book provides some advanced techniques for transforming data into insights, covering topics like joins, window functions, subqueries, and regular expressions.

Advancing into Analytics

This is a practical guide for Excel users to help them gain an understanding of analytics and the data stack. The author covers the key statistical concepts with spreadsheets and helps Excel users transition to performing exploratory data analysis and hypothesis testing using Python and R.

Modern Data Analytics in Excel

This book covers the features of modern Excel and the powerful tools for analytics. The author teaches how to leverage tools like Power Query and Power Pivot to build repeatable data-cleaning processes and create relational data models and analysis measures. The book also covers using AI and Python for more advanced Excel reporting.

Data Visualization with Excel Dashboards and Reports

This book teaches how to analyze large amounts of data in Excel and report them in a meaningful way. It also teaches the fundamentals of data visualization and covers how to automate redundant reporting and analyses.

Data Analysis for Business, Economics, and Policy

This book is a practical guide to using tools to carry out data analysis to support better decision-making in business, economics, and policy. The book covers topics like data wrangling, regression analysis, and causal analysis, along with numerous case studies with real-world data.

Storytelling with Data

“Storytelling with Data” is a data visualization guide for business professionals. The book teaches how to convert the data into a high-impact visual story to resonate the message with the audience.

Fundamentals of Data Visualization

This book provides a guide to making informative and compelling figures that help convey a compelling story. The book also provides extensive examples of good and bad figures.

Data Visualization: A Practical Introduction

This book covers how to create compelling visualizations using R programming language, more specifically using the ggplot2 library. It covers topics like plotting continuous and categorical variables, grouping, summarizing, and transforming data for plotting, creating maps, and refining plots to make them more understandable.

Naked Statistics

“Naked Statistics” is a beginner-friendly book focusing on the underlying intuition driving statistical analysis. The book covers topics like inference, correlation, and regression analysis in a witty and funny manner, which simplifies the learning process.

The Art of Statistics

“The Art of Statistics” is a practical guide to using data and mathematics to understand real-world problems better. The book covers how to clarify questions and assumptions and interpret the results.

Essential Math for Data Science

This book teaches the mathematics essential for excelling in data science, machine learning, and statistics. It covers topics like calculus, probability, linear algebra, and statistics, as well as their applications in algorithms like linear regression and neural networks.

Practical Statistics for Data Scientists

This book covers how to apply statistical methods to data science using programming languages like Python and R. It emphasizes the importance of exploratory data analysis and also covers the underlying statistical concepts behind supervised and unsupervised machine learning algorithms. 

Business unIntelligence

This book talks about the ever-changing and complex business intelligence landscape in today’s world. It covers numerous new models that businesses can leverage to design support systems for future successful organizations.

Data Science for Business

This book covers how organizations can leverage data science to gain a competitive advantage. It talks about general concepts that are useful in extracting knowledge from data. The book also provides various real-world examples to explain different concepts.

The Model Thinker

This book guides how to organize, apply, and understand the data that is being analyzed to become a true data ninja. The book covers mathematical, statistical, and computational models such as linear regression and random walks and provides a toolkit for its readers to make them leverage data to their advantage.

Becoming a Data Head

“Becoming a Data Head” teaches how to think, speak, and understand data science and statistics. It also covers the recent trends in machine learning, text analytics, and artificial intelligence.


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Shobha is a data analyst with a proven track record of developing innovative machine-learning solutions that drive business value.




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14Apr

Technology & Innovation Senior Associate (3-6 years PQE) (Dublin or Galway)

Job title: Technology & Innovation Senior Associate (3-6 years PQE) (Dublin or Galway)

Company: LK Shields

Job description: Technology and Innovation Senior Associate (3-6 years PQE) LK Shields Solicitors is a leading full service commercial… law firm. Through the delivery of first-rate legal advice that combines excellent business acumen and exceptional client…

Expected salary:

Location: Dublin – Galway

Job date: Sat, 16 Mar 2024 02:45:24 GMT

Apply for the job now!

14Apr

Technology & Innovation Associate Solicitor (0-2 years PQE) (Dublin or Galway)

Job title: Technology & Innovation Associate Solicitor (0-2 years PQE) (Dublin or Galway)

Company: LK Shields

Job description: Technology and Innovation Associate Solicitor (0-2 years PQE) LK Shields Solicitors is a leading full service… commercial law firm. Through the delivery of first rate legal advice that combines excellent business acumen and exceptional…

Expected salary:

Location: Dublin – Galway

Job date: Sat, 16 Mar 2024 03:02:58 GMT

Apply for the job now!

14Apr

Associate / Senior Associate – Clinical Central Services & innovation

Job title: Associate / Senior Associate – Clinical Central Services & innovation

Company: Eli Lilly

Job description: are determined to make life better for people around the world. Purpose: The Global Business Solutions (GBS) Center at Cork… and Global Travel and Meeting services. Since then, the scope of GBS Cork has expanded outside of Finance and into other Business

Expected salary:

Location: Cork

Job date: Sat, 30 Mar 2024 23:21:08 GMT

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