People Tech Technology is pleased to offer a comprehensive Data Training Program designed for individuals looking to start a career in data science and analytics. This program aims to equip participants with the essential skills and knowledge required to become proficient data professionals.
Key Responsibilities:
Training Participation: Attend and actively engage in all training sessions, workshops, and assignments.
Learning and Development: Utilize training materials, complete exercises, and participate in discussions to deepen understanding of data science and analytics concepts.
Project Work: Apply learned skills by working on real-world projects and assignments with guidance from experienced mentors.
Data Analysis: Conduct data cleaning, analysis, and visualization using various tools and techniques.
Collaboration: Work collaboratively with peers and mentors to foster a productive learning environment.
Feedback and Improvement: Provide and receive constructive feedback to and from peers and mentors to continually improve skills and program experience.
What You Will Learn:
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.
Qualifications:
Education: Masters 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.
Passion 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.
Preferred Skills (Not Mandatory):
Prior Experience with Data: Any prior experience with data analysis or related fields is a plus.
Knowledge of Statistics: Basic understanding of statistical concepts and methods.
Benefits:
Hands-on Training: Gain practical experience through real-world projects.
Mentorship: Receive guidance and support from experienced data professionals.
Career Opportunities: Potential for full-time employment opportunities upon successful completion of the program.
Networking: Connect with industry professionals and like-minded peers.