Live
DATA
SCIENCE
Live Mentorship by Experts | Course Completion Certificate | Internship Certificate
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Course overview
The Data Science course at Embrizon Technologies provides a comprehensive understanding of data manipulation, analysis, and visualization. It covers essential tools and techniques in Python, machine learning, and data visualization tools like Power BI. This hands-on course is ideal for those looking to excel in data-driven decision-making and analytical roles.
COURSE STRUCTURE
Python Fundamentals
- Installation of Anaconda and Jupyter Notebook
- Data types and variable naming rules
- Lists, tuples, sets, and dictionaries
- Reading and writing text files
- Conditional statements and loops
Data Analysis with NumPy and Pandas
- Hands-on with NumPy for data manipulation
- Data manipulation and analysis using Pandas
- Data cleaning and preprocessing techniques
- Exploring data structures in Python
- Basic statistical operations
Data Visualization
- Introduction to data visualization techniques
- Hands-on experience with Matplotlib
- Using Seaborn for advanced visualization
- Measures of central tendency and dispersion
- Exploratory Data Analysis (EDA)
Machine Learning Fundamentals
- Introduction to supervised and unsupervised learning
- Classification and regression techniques
- Linear regression and its metrics
- Logistic regression with hands-on practice
- Fine-tuning machine learning models
Preprocessing for Machine Learning
- Data preprocessing techniques and importance
- Handling missing values and outliers
- Feature scaling and selection
- Standardization and normalization
- Preparing data for machine learning models
Advanced Machine Learning Techniques
- Introduction to tree-based models
- Decision trees and their applications
- Bagging and boosting methods
- Fundamentals of neural networks
- Real-world applications of advanced models
SQL for Data Science
- Basics of SQL and its importance
- Understanding database schema and clauses
- SQL joins and queries
- Advanced Excel functions for data analysis
- Creating dashboards and pivot tables
Power BI
- Introduction to Power BI and its features
- Understanding ETL pipeline in Power BI
- Calculating fields using DAX
- Data visualization and report generation
- AI functionalities of Power BI
Career Preparation
- Building an effective resume
- Importance of a LinkedIn profile
- Group discussion techniques
- Interview skills and question handling
- Professional grooming for interviews
Learning Objectives
- Understand Python programming and data structures.
- Gain proficiency in data analysis using NumPy and Pandas.
- Master data visualization techniques with Matplotlib and Seaborn.
- Learn machine learning concepts and algorithms.
- Acquire skills in SQL and Power BI for data manipulation and reporting.
Learning Methods
- Presentations & Lectures
- Hands-On, Project-Based Learning
- Live Mentorship Sessions
- Self-Paced Learning & Recorded Lectures
Learning Outcome
Upon completing the Data Science course, participants will be equipped with the skills to analyze and visualize data effectively. They will understand various machine learning techniques and how to apply them in real-world scenarios. Graduates will be prepared to pursue careers in data science and analytics, armed with hands-on experience and a robust portfolio.
How to Enroll Program
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Elevate your skills with hands-on experience, 12+ live projects, and mentorship from industry-leading experts in the top 2% of their field. Our tailored plans cater to your unique needs, allowing you to transform your practical knowledge into real-world expertise.
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Frequently Asked Questions
What is the difference between the Live and Self-Paced courses?
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Live Class:
- Offers real-time interaction with mentors.
- Includes scheduled live sessions where you can ask questions and get instant feedback.
- Provides personalized mentorship through live engagement.
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Self-Paced Class:
- Access pre-recorded video content at your convenience.
- No fixed schedule – you can learn whenever it suits you.
- Get mentor support via pre-scheduled mentoring sessions without the need for live attendance.
Will I receive a certificate after completing the course?
Yes, upon successful completion of the course, you will receive a Certificate for Course Completion.
What type of projects will I be working on?
ou’ll be working on 5+ live projects that are designed to give you hands-on experience and practical knowledge.
How much mentor support is provided in the Self-Paced course?
The Self-Paced course offers 15+ hours of mentor training to help guide you through the course and projects.
How do I enroll in the Self-Paced course?
You can easily enroll in the Self-Paced course by clicking on the Enroll Now button and completing the registration process.
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