This course equips learners with foundational data science knowledge and practical experience. By understanding how to collect, clean, and analyze data, as well as apply basic machine learning and visualization techniques, participants will be ready to embark on more complex data science challenges with confidence. Take the first step towards a rewarding career with our Data Science certification Pakistan.
Overview of Data Science and Its Applications
- Introduction to the field of data science and its importance across industries.
- Exploring the roles and responsibilities of a data scientist.
- Understanding real-world applications and case studies of data science.
Data Collection and Preprocessing
- Techniques for data collection from various sources.
- Understanding data cleaning, handling missing values, and data normalization.
- Introduction to tools and libraries used for data preprocessing (e.g., Python’s Pandas).
Exploratory Data Analysis (EDA)
- Applying techniques to explore and summarize datasets.
- Creating visualizations to identify patterns, trends, and outliers.
- Utilizing statistical measures to interpret data characteristics.
Fundamentals of Statistics for Data Science
- Key statistical concepts: mean, median, variance, and standard deviation.
- Understanding probability, distributions, and hypothesis testing.
- Introduction to correlation and regression analysis.
Data Visualization Techniques
- Best practices for creating effective data visualizations.
- Using visualization tools like Matplotlib, Seaborn, or Tableau.
- Storytelling through visual data representation.
Introduction to Machine Learning Concepts
- Understanding the difference between supervised and unsupervised learning.
- Basic overview of algorithms like linear regression, decision trees, and clustering.
- Applications of machine learning in solving practical problems.
Introduction to Programming for Data Science
- Basic programming concepts using Python or R.
- Working with data science libraries (NumPy, Pandas, Scikit-learn).
- Building simple scripts to handle data analysis tasks.
Hands-on Mini Projects
- Applying learned skills to small-scale projects.
- Examples include data cleaning and EDA, simple predictive models, or visual storytelling.
- Receiving feedback and improving based on practical insights.
Meet Your Instructors
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- Live Class
- InstructorTBA
- Duration4 Weeks
- Total Hours16 Hours
- LanguageEnglish / Urdu
- CertificateYes
Refund Policy:
If an enrolled certification program cannot commence due to low enrollment, learners may transfer their paid amount in full or in part to another program. Alternatively, learners may request a full refund, which will be issued only via banker's cheque.
