Professional Data Science & Analytics using Python
The Professional Data Science & Analytics using Python program by TEQZen Solutions is a comprehensive, industry-focused training program designed to help learners build strong expertise in data an...
The Professional Data Science & Analytics using Python program by TEQZen Solutions is a comprehensive, industry-focused training program designed to help learners build strong expertise in data analysis, machine learning, and business intelligence using Python.
This course provides hands-on experience in working with real-world datasets, performing data preprocessing, creating visualizations, and building predictive models using industry-standard tools and libraries. Learners will gain practical exposure to the complete data science workflow — from data collection and cleaning to analytics, visualization, and machine learning model development.
The program combines theoretical understanding with practical implementation through assignments, case studies, mini projects, and a final capstone project. It is ideal for students, fresh graduates, and professionals looking to build a successful career in Data Science, Analytics, Artificial Intelligence, and related domains.
With expert mentorship, LMS-based learning, mock assessments, and placement assistance, this course prepares learners to become job-ready professionals in the rapidly growing field of Data Science.
- Python Programming Fundamentals for Data Science
- Data Analysis using NumPy and Pandas
- Data Cleaning and Preprocessing Techniques
- Exploratory Data Analysis (EDA)
- Data Visualization using Matplotlib and Seaborn
- Statistical Analysis and Business Insights
- SQL for Data Analytics and Reporting
- Machine Learning Fundamentals and Algorithms
- Predictive Modeling using Scikit-learn
- Natural Language Processing (NLP) Basics
- Dashboarding and Reporting Concepts
- Working with Real-World Datasets
- Capstone Project Development
- Problem Solving and Analytical Thinking
- Industry-Oriented Data Science Workflow
- Resume Building and Interview Preparation for Data Science Roles
Tools & Technologies Covered
- Python
- Jupyter Notebook
- NumPy
- Pandas
- Matplotlib
- Seaborn
- SQL
- Scikit-learn
- Power BI Basics
Career Opportunities
After completing this course, learners can pursue roles such as:
- Data Analyst
- Junior Data Scientist
- Business Analyst
- Python Developer
- Machine Learning Associate
- Reporting Analyst
- Data Visualization Specialist
Expert instructor dedicated to delivering practical, high-quality education on the TEQZen platform.
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