European IT inst

Data Analytics & Machine Learning with Python


Every minute, enormous amounts of data are produced. On the other side, organizations are attempting to investigate every possibility to make sense of this data. Here is where data analytics has become essential to successfully running a firm. It is frequently employed in businesses to promote profitability and expansion. We’ll learn Python-based data analytics in this course.

What you will learn?

In this course, the student will be familiar with the python programming from scratch. After learning the python, our teacher will train different data analytics technique along with data collection process. Finally, the student will learn how to deploy the data analytics skills into any Machine Learning problem.

Who this course is for:

  • Total beginners
  • Computer programmer
  • Who desires a new career path


After completing the course students will get a certificate and they can call themselves certified in Social media marketing. They can also work on any IT farms or any freelancing platform. Here we also provide job placement opportunities.


Course Introduction

  • Course Objective
  • Career Opportunity
  • Course Outline

Setup Python

  • Python Installation
  • Coding Environment Setup (VSCode, Jupyter Notebook)

Python Basic

  • Variable
  • Output
  • Operator
  • Conditional Statement
  • Loop
  • List
  • Dictionary
  • Set
  • Function


  • Array
  • Functions
  • Indexing and slicing
  • Shape Manipulation
  • Seed Function
  • View vs Copy
  • Array Transposition
  • Array Processing
  • Array I/O
  • Numpy vs List


  • Installation
  • Read and Write CSV
  • DataFrames
  • Reindex
  • Row and Column Iterate
  • Drop Entry
  • Replace Entry
  • Data Preprocessing

Data Collection with Web Scraping

  • Introduction
  • Selenium/Beautiful Soap/ Scrapy
  • Store data into csv/excel/json/db

Data Processing with NumPy and pandas

  • Statistical Knowledge
  • Data Cleaning
  • Empty Data Handling
  • Data Filtering
  • Data Replacing

Machine Learning with TensorFlow

  • Supervised Learning
  • Unsupervised Learning
  • Reinforcement Learning

Report Generator with Matplotlib

  • Installation
  • Line Chart
  • Bar Chart
  • Pie Chart
  • Color Formation
  • Font manipulation
  • Save chart as PDF/PNG/SVG/JPG

Software Taught

  • VS Code
  • Jupyter Notebook
  • Pycharm
  • Xampp Control Pane

Career Opportunity:

After course completion, students can get jobs as:

  • Data Analyst
  • Data Engineer
  • Machine Learning Engineer

৳ 15,000.00৳ 20,000.00

Offline Course Fee

Regular Fee : BDT 30,000

Discount Fee : BDT 20,000

Online Course Fee

Regular Fee : BDT 30,000

Discount Fee : BDT 15,000

Working Hours

Monday 10:00 am – 9.00 pm
Tuesday 10:00 am – 9.00 pm
Wednesday 10:00 am – 9.00 pm
Thursday 10:00 am – 9.00 pm
Friday 10:00 am – 9.00pm
Saturday 10:00 am – 9.00 pm
Sunday 10:00 am – 9.00 pm