5 Data Analyst Skills Needed to Bag a Job in 2024
Proficiency in Programming
Mastery of Python, R, and SQL
Ability to manipulate and analyze large datasets
Proficiency in data visualization libraries such as Matplotlib, Seaborn, and ggplot2
Statistical Analysis and Mathematics
Statistics and mathematics is indispensable
Understanding of inferential statistics, regression analysis, and probability theory
Capability to derive meaningful insights and make data-driven decisions
Data Wrangling and Cleaning
Proficiency in data cleaning techniques and data wrangling processes
Ability to preprocess raw data, handle missing values, and address inconsistencies
Expertise in data transformation
Machine Learning and Predictive Modeling
Familiarity with machine learning algorithms and techniques
Application of supervised and unsupervised learning methods
Capacity to evaluate model performance
Business Acumen
Understanding of business objectives and domain-specific knowledge
Effective communication skills to articulate findings and insights to stakeholders
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