Data Science

What Youll Be Learnig

Here's a list of key topics and skills that students will master during our Data Science course:

  1. Introduction to Data Science:

    • Understand the fundamentals and principles of data science.
    • Explore the role of data scientists in various industries.

  2. Data Exploration and Cleaning:

    • Learn techniques for exploring and visualizing datasets.
    • Master data cleaning and preprocessing to ensure data quality.

  3. Statistical Analysis:

    • Gain proficiency in statistical methods for data analysis.
    • Apply descriptive and inferential statistics to draw meaningful insights.

  4. Python Programming for Data Science:

    • Develop coding skills in Python, a widely-used language in the field.
    • Use Python libraries such as NumPy, Pandas, and Matplotlib for data manipulation and visualization.

  5. Machine Learning Basics:

    • Understand the principles of machine learning.
    • Explore supervised and unsupervised learning techniques.

  6. Data Modeling and Evaluation:

    • Learn to build predictive models using machine learning algorithms.
    • Evaluate model performance and make data-driven decisions.

  7. Big Data Technologies:

    • Gain insights into big data technologies such as Hadoop and Spark.
    • Understand distributed computing for handling large datasets.

  8. Data Mining and Pattern Recognition:

    • Explore data mining techniques to discover hidden patterns in data.
    • Understand the importance of feature engineering.

  9. Natural Language Processing (NLP):

    • Learn the basics of NLP for text data analysis.
    • Implement sentiment analysis and text classification.

  10. Data Visualization:

    • Master the art of presenting data effectively through visualizations.
    • Use tools like Tableau or Matplotlib to create compelling visual representations.

  11. Real-World Applications and Case Studies:

    • Apply learned concepts to real-world scenarios through hands-on projects.
    • Analyze case studies from various industries to understand practical applications.

  12. Ethics and Responsible Data Science:

    • Explore ethical considerations in data science.
    • Understand the importance of responsible data handling and decision-making.

By the end of our Data Science course, students will have a well-rounded understanding of the data science lifecycle and the practical skills needed to tackle complex data-related challenges in today's professional landscape. Join us at Guru's to embark on a journey toward mastering the art and science of data!

APPLY NOW