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Python & DataScience Development Training

Python & DataScience Development Training is one of the fastest-growing career paths in the tech industry. This course covers Python programming, data handling, machine learning, data visualization, AI model building and deployment. Students gain hands-on experience working with real-world datasets and projects suitable for job roles in Data Science & Machine Learning.

Course Requirement

No programming knowledge required. Basic mathematics and logical skills are enough. Ideal for students, professionals, beginners, job seekers and working employees looking to switch into data science and analytics.

  • Basic computer knowledge
  • Logical & analytical thinking
  • Interest in AI, ML & Data Science
  • Commitment for practice & learning

Professional Experience

Students work on real-time projects including data analysis, visualization, ML model training & deployment. After training, learners will be prepared for roles such as Data Analyst, Python Developer, Machine Learning Engineer, and Junior Data Scientist.


Course Curriculum / Syllabus

1. Python Programming
  • Basics, Variables, Loops & Conditions
  • Functions, Modules, OOP Concepts
  • File Handling & Exception Handling
2. Python for DataScience
  • NumPy & Pandas
  • Data Cleaning & Feature Engineering
  • Data Preprocessing Techniques
3. Data Visualization
  • Matplotlib & Seaborn
  • Plot Styling, Heatmaps, Pairplots
4. Machine Learning
  • Supervised & Unsupervised Learning
  • Regression / Classification Models
  • Model Evaluation & Optimization
5. Tools & Technologies
  • Jupyter Notebook
  • Git & Version Control
  • API & Deployment Basics
6. Projects
  • Mini Data Analysis Project
  • Machine Learning Model Project
  • Final DataScience Project with Deployment