68 hours of blended learning

 4 industry-based projects

 Interactive learning with Jupyter notebooks labs


 Dedicated mentoring session from faculty of industry experts

Classroom Training

✔ Classroom training is considered the most effective form of learning.
✔ Develops important personality and career building skills.
✔ Technology-Based Learning. Common methods of learning via technology include.

Campus Training

✔ Online assessment program during campus placement.
✔ Campus learning is a premium option for campus instruction
✔ 24*7 learning assistance and support

Corporate House Training

✔ Flexible pricing options
✔ Enterprise grade Learning Management System (LMS)
✔ Enterprise dashboards for individuals and teams
✔ 24×7 learner assistance and support

Interactive Workshop

✔ A workshop is a great way for someone to learn about a particular subject.
✔ Workshop are usually longer often 1 to 2 days
✔ Seminars are usually 90 minutes to 3 hours
✔ A training workshop is a type of interactive training

Online Training

✔ Online training is effective for training across multiple locations.
✔ 24×7 learner assistance and support.
✔ Amirit Techservices online course platform is one of the most well-known sources of education via the internet.

Data Science Training Syllabus

Course Introduction

  • Introduction to the Course
  • Course Help and Welcome
  • Course FAQs

Environment Set-Up

Jupiter Overview

  • Jupiter Overview
  • Updates to Notebook Zip
  • Learn about the Jupiter Notebook System!

Python Crash Course

Python for Data Analysis – NumPy

  • Welcome to the NumPy Section!
  • Introduction to Numpy
  • Numpy Arrays
  • Quick Note on Array Indexing
  • Numpy Array Indexing
  • Numpy Operations
  • Numpy Exercises Overview
  • Numpy Exercises Solutions

Python for Data Analysis – Pandas

Python for Data Analysis – Pandas Exercises

  • SF Salaries Exercise Overview
  • Note on SF Salary Exercise
  • SF Salaries Solutions
  • Ecommerce Purchases Exercise Overview
  • Ecommerce Purchases Exercise Solutions

Python for Data Visualization – Matplotlib

Python for Data Visualization – Seaborn

  • Introduction to Seaborn
  • Distribution Plots
  • Categorical Plots
  • Matrix Plots
  • Grids
  • Regression Plots
  • Style and Color
  • Seaborn Exercise Overview
  • Seaborn Exercise Solutions

Python for Data Visualization – Pandas Built-in Data Visualization

Python for Data Visualization – Plotly and Cufflinks

  • Introduction to Plotly and Cufflinks
  • Plotly and Cufflinks

Python for Data Visualization – Geographical Plotting


Data Capstone Project

  • Welcome to the Data Capstone Projects!
  • 911 Calls Project Overview
  • 911 Calls Solutions – Part 1
  • 911 Calls Solutions – Part 2
  • Bank Data
  • Finance Data Project Overview
  • Finance Project – Solutions Part 1
  • Finance Project – Solutions Part 2
  • Finance Project – Solutions Part 3

1. How do I earn my Amirit Techservices certificate?

2. Do you provide any practice tests as part of this course?

1. What are the system requirements?

2. Who are our instructors and how are they selected?

3. What are the modes of training offered for this Python for Data Science course?

4. What is Global Teaching Assistance?