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June 21, 2024

4 Must-Have Data Analytics Skills Employers Want

Competent data analysts are important in today’s data-driven business environment for mining massive data sets for actionable insights. Improving your data analytics abilities is crucial for any professional’s job, whether they are just starting out or have years of experience under their belt. We’ll take a look at the most sought-after abilities of data analysts.

Table of Contents:

  • 4 Must-Have Data Analytics Skills
  • The Most Upskilling Programs
  • Conclusion

4 Must-Have Data Analytics Skills

1. Statistical Analysis and Interpretation

Data analysts must be proficient in statistical techniques. Understanding concepts like mean, median, standard deviation, and hypothesis testing is crucial. Proficiency in tools like R, Python, or Excel for statistical analysis is highly valued.

2. Data Visualization

Visualizing data effectively is essential for conveying insights to stakeholders. Tools like Tableau, Power BI, or Matplotlib allow analysts to create compelling charts, graphs, and dashboards. A well-designed visualization can make complex data accessible and actionable.

3. SQL (Structured Query Language)

SQL is the language used to interact with relational databases. Data analysts need to write SQL queries to retrieve, filter, and manipulate data. Proficiency in SQL is a fundamental skill for working with databases.

4. Business Acumen

Data analysts should understand the business context behind the data. Being able to translate data insights into actionable recommendations requires business acumen. Effective communication with non-technical stakeholders is equally important.

The Most Upskilling Programs

To meet with the rising demands of organizations for data analysts, several reputed institutes have developed the best data analytics programs for aspirants to hone their skills and earn prestigious certifications.

1. Data Science and ML with GenAI Advanced Program from NIIT

The Data Science and ML with GenAI Advanced Program from NIIT is a 15-30 week online course that covers the fundamentals and applications of data analytics, machine learning. 

Course content & Highlights:

  • Data Analytics Using Excel
  • Analytics using SQL
  • Introduction to Programming using Python
  • Python for Data Science
  • Exploratory Data Analysis
  • Exploratory Data Analysis using Tableau
  • Storytelling using Tableau
  • Statistics using Python
  • Predictive Modelling using Machine Learning
  • Capstone project
  • Online self-paced study
  • Weekly live sessions
  • Course materials, videos, quizzes, assignments
  • Webinars
  • Improve problem-solving, creativity, and critical thinking
  • Certificate from NIIT and StackRoute

2. Data Analyst Master Course from IIM SKILLS

A thorough program that prepares students to become data analytics specialists with a data science edge, the Data Analyst Course offered by IIM SKILLS is described as “a comprehensive program.”

Course content & highlights:

  • Data Analysis using Excel, VBA, and SQL
  • Data Visualization using Tableau and Power BI
  • Programming using Python and R
  • Data Science using SAS
  • Machine Learning using Python and R
  • Artificial Intelligence using Python and R
  • Live online classes
  • IIM SKILLS certification
  • Internship opportunities

Conclusion

As the demand for data analytics professionals continues to grow, mastering these essential skills will set you apart in the job market. Whether you’re pursuing a data science course for beginners or looking to enhance your existing skills, remember that continuous learning and practical application are key to success.

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