Data Scientist Professional
1 week ago
People Tech Group Inc. is a renowned organization committed to empowering individuals with the skills and knowledge required to excel in the data science and analytics industry.
Job DescriptionThis comprehensive Data Training Program aims to equip participants with the essential skills and knowledge necessary to become proficient data professionals.
Key Responsibilities:- Attend and actively engage in all training sessions, workshops, and assignments.
- Utilize training materials, complete exercises, and participate in discussions to deepen understanding of data science and analytics concepts.
- Apply learned skills by working on real-world projects and assignments with guidance from experienced mentors.
- Conduct data cleaning, analysis, and visualization using various tools and techniques.
- Work collaboratively with peers and mentors to foster a productive learning environment.
- Provide and receive constructive feedback to and from peers and mentors to continually improve skills and program experience.
- Data Fundamentals: Understanding data types, data collection, and data cleaning techniques.
- Statistics and Probability: Basic concepts of statistics and probability used in data analysis.
- Programming for Data Science: Using programming languages such as Python or R for data manipulation and analysis.
- Data Visualization: Creating visualizations using tools like Matplotlib, Seaborn, or Tableau.
- Machine Learning: Introduction to machine learning concepts, algorithms, and model evaluation.
- Big Data Technologies: Understanding big data frameworks like Hadoop and Spark.
- SQL and Databases: Writing SQL queries and understanding database management.
- Data Storytelling: Communicating insights effectively through data storytelling and presentation.
- Education: Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field (or currently pursuing one).
- Basic Programming Knowledge: Familiarity with basic programming concepts, preferably in any programming language.
- Possession for Data: Demonstrated interest in data science and analytics.
- Analytical Skills: Strong analytical and problem-solving skills.
- Communication Skills: Strong verbal and written communication skills.
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