Stay Ahead with the Top 3 Data Analytics Trends for 2024

Authored by: Abhi Jain

3 Must-Know Data Analytics Trends in 2024

Data analytics is continuously evolving, thus professionals and executives must innovate. In 2024, data analytics innovations will transform how we analyze, understand, and make informed judgements. Whether you're a beginner or a business leader using data, these patterns are crucial. The post discusses three data analytics trends you must know about.

Table of Contents:

  • Trend 1: Augmented Analytics
  • Trend 2: Explainable AI (XAI)
  • Trend 3: Edge Analytics
  • The Most Useful Upskilling Programs
  • Conclusion

Trend 1: Augmented Analytics

Augmented Analytics enhances human intellect with machine learning and AI, not simply automation. Tool and platform integration of AI-driven insights into analytics workflows will increase in 2024. This trend will automate repetitive processes, reveal trends, and provide meaningful suggestions for data analysts and scientists. 

Example:

A retail firm uses augmented analytics to forecast client preferences, optimize pricing, and automate inventory management.

Trend 2: Explainable AI (XAI)

As AI becomes more important in data analytics, demand for Explainable AI (XAI) rises. Understanding how AI models reach conclusions is crucial, particularly in regulatory-compliant companies. To connect sophisticated algorithms to corporate stakeholders, data professionals must be able to evaluate and deliver AI-driven findings.

Example:

A financial institution employing XAI to inform consumers and regulators of credit scoring decisions, fostering confidence.

Trend 3: Edge Analytics

In IoT, data is created in centralized servers and at network edges, closer to where it's required. Edge Analytics processes data near its origin, decreasing latency and allowing real-time decision-making. Professionals must learn edge computing, data streaming, and IoT analytics to adapt.

Example:

Edge analytics for real-time equipment health monitoring and maintenance prediction in an industrial production facility.

The Most Useful Upskilling Programs

1. Data Analytics Program with Generative AI from NIIT

Students enrolled in the 16-32 weeks Data Analytics Programme with Generative AI from NIIT are prepared to enter the data science workforce with a generative AI specialty. 

The program covers topics such as:

  • Analyse and visualize data using Excel
  • Use SQL to work with RDBMS
  • Python programming
  • Data Analytics using Python libraries
  • Exploratory Data Analysis (EDA)
  • Visualize data using Tableau
  • EDA using Tableau
  • Capstone project

The program also provides learners with industry and career support, such as:

  • Industry Projects
  • Mentorship and Guidance from Experts
  • Certification and Accreditation from NIIT and StackRoute
  • Job Assistance and Placement Support

2. Data Analytics Certificate Program from Grow with Google India

The Data Analytics Certificate Program from Grow with Google India is a foundational program that trains learners to become data analytics professionals with a Google edge. 

The program covers topics such as:

  • Data Analysis using Spreadsheets and SQL
  • Data Visualization using Tableau and R
  • Communication and Collaboration using Google Workspace
  • Problem-Solving and Critical Thinking using Data
  • Ethics and Data Quality using Google Tools

The program also equips learners with Google certification and career opportunities, such as:

  • Google Data Analytics Professional Certificate
  • Google Career Readiness Assessment
  • Google Job Portal Access
  • Google Mentorship and Peer Support
  • Google Career Resources and Guidance

The program is delivered online, with self-paced online modules, videos, quizzes, and hands-on projects. The program is suitable for anyone who wants to learn data analytics, regardless of their educational background or work experience.

Conclusion

To stay relevant in the fast-changing data analytics sector, embrace these advancements. For the future, data professionals must grasp machine learning, AI, edge computing, data visualization, and ethics. 

A good Executive program in data analytics can teach you these must-know topics and help you succeed in 2024 and beyond. Be confident in the future and lead data-driven decision-making. Contact us or visit our website for more information on our innovative programs.

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