I'm looking to transition into Data Analytics. What skills do I need to learn for this role ?
Anonymous asked a question to India
Category: Career Advice
Date asked: Thursday, July 13, 2023
Last reviewed: Tuesday, August 8, 2023
Susanta Kumar S.
Service Lead - Portfolio Management
Hello Dear, for Data Analytics you need to learn Data Science & related tools like - Tableau, RapidMinar, MATLAB, Apache Spark etc. You may also learn Python, Apache Hadoop, Alteryx & Machine Learning skills.
Friday, July 14, 2023
Anurag R.
Deputy Manager - TechVI - Sw.Engg
Transitioning into data analytics requires a mix of technical and soft skills. Here are some essential skills with flow you should focus on learning:
1. Basic Level:
Introduction to Data Analysis and Excel: Understand basic data analysis concepts and learn how to use Excel for data manipulation and simple calculations.
2. Intermediate Level:
SQL Fundamentals: Learn how to query and retrieve data from databases using SQL.
Data Cleaning and Preprocessing: Acquire skills to clean and prepare data for analysis, dealing with missing values and outliers.
Basic Statistics: Gain knowledge of descriptive statistics and probability concepts.
3. Advanced Level:
Data Analysis with Python or R: Learn to use Python or R for data manipulation, visualization, and statistical analysis.
Advanced Statistics: Dive deeper into inferential statistics and hypothesis testing.
Machine Learning Basics: Understand the fundamentals of machine learning algorithms for predictive modeling.
4. Expert Level:
Advanced Machine Learning: Deepen your knowledge of machine learning techniques, including ensemble methods and deep learning.
Big Data and Cloud Computing: Learn how to handle large datasets using distributed computing platforms and cloud technologies.
Data Storytelling and Communication: Develop the ability to present data insights effectively to non-technical stakeholders.
Please Remember, data analytics is an evolving field, and continuous learning and staying up-to-date with the latest tools and technologies will be essential for success. Throughout your learning journey, practice with real-world datasets and work on projects to apply your skills. Keep exploring new tools, techniques, and industry trends to stay at the cutting edge of data analytics. Good luck with your transition into data analytics!
Tuesday, August 8, 2023
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