Learn data structures, algorithms, and statistical languages like Python and R. Familiarity with other programming languages such as Scala, C++, SQL, and Java is beneficial.
Multi-Programming Skills
Use tools like Tableau, Data Wrapper, and Plotly to present analytics visually for better understanding of large datasets.
Data Visualization
Knowledge of statistics and mathematics helps in curating unstructured data. Strong grasp of linear algebra is advantageous for tackling big data problems.
Quantitative & Analytical Skills
Skill in managing and interpreting data is crucial. It involves reviewing data to arrive at meaningful inferences and insights.
Data Handling & Interpreting
Understand technologies like Apache Hadoop, Apache Spark, and frameworks such as HIVE, MapReduce, HDFS, and Pig for efficient data streaming and decision-making.
Knowledge Of Multiple Technologies & Frameworks
Gain insights from a large amount of data by understanding the business process and goals of an organization.
Business & Problem-Solving Skills
Comprehend the fundamentals of Big Data, its characteristics, and its impact on businesses.
Understanding Big Data Concepts
Acquire knowledge of database systems like SQL and NoSQL for effective data storage and retrieval.
Database Management Systems
Familiarity with machine learning algorithms and artificial intelligence enhances data analysis capabilities.
Machine Learning & AI
Develop strong communication and collaboration skills to convey findings and work effectively in a team.
Communication & Collaboration
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