Data Science With Python - Classroom

London School of Emerging Technology

Certificate of completion

Digital certificate - Included

LSET Validated Data Science With Python

£100

Prerequisites have been met

Option 1

1. Topic: Data Science with Python (Prior Knowledge of Python Required)
2. Add-On:
3. Duration: 3 Months

Option 2

1. Topic: Data Science with Python (Prior Knowledge of Python Required)
2. Add-On:Project
3. Duration: 5 Months

Option 3

1. Topic: Data Science with Python (Prior Knowledge of Python Required)
2. Add-On: Project &Industrial Training and Paid Internship Program
3. Duration: 12 Months

Prerequisites have not been met

Option 1

1. Topic: Python + Data Science with Python
2. Duration: 4 Months

Option 2

1. Topic: Python + Data Science with Python
2. Add-On:Project
3. Duration: 6 Months

Option 3

1. Topic: Python + Data Science with Python
2. Add-On: Project &Industrial Training and Paid Internship Program
3. Duration: 13 Months

Note: Our Industrial Training and Internship program includes a guaranteed 6 months paid internship (from 10 hours to 40 hours per week) with a technology company. Due to visa restrictions, some international students may not be able to participate in this program.

Course Highlights

• Hands-on practice

• Industry-standard Project development

• Learn from experts

• Interactive teaching

• Personality development

Reasons to learn Data science

• Amazing job opportunities as the demand for data science professionals is increasing at a high pace

• As per the survey average salary of data science, professionals is £52,052.

• Data science enhances your decision-making power and it is easy to learn and understand.

• Less completion in the field as there is an alarming gap between the demand and supply of data science professionals.

About the Course

This course will guide you in learning how to utilize the strength of Python in data analysis, creating appealing visualizations, and using robust machine learning algorithms. This course is designed for both beginners with basic programming experience and experienced developers who are willing to jump into Data Science.

You will learn how to use NumPy, Seaborn, Pandas, Matplotlib, Python overview, Machine Learning concepts, and more. Further, you will get a chance to enhance your learning skills through Hands-on experience and live project development.

• This course enhances your data science skills to help you land your dream job.

• Through this course, you will get in-depth information about python and its data science library.

• Career guidance and doubt resolving sessions with industry experts.

• Learning through hands-on experience and live project development.

• You will learn in detail about different data sciences techniques like NumPy, Pandas, Seaborn, and Matplotlib.

Who should apply for this course?

• Students who are willing to take data science as a career and want proficiency in this domain.

• Students who want to achieve a great and successful career.

• It is the best course for students who want to build a strong foundation in data science.

• It is also a great course for working professionals who want to shift to the data science domain.

Learning Objectives

• Use Python for Data Science and Machine Learning

• Use Spark for Big Data Analysis

• Implement Machine Learning Algorithms

• Learn to use NumPy for Numerical Data

• Learn to use Pandas for Data Analysis

• Learn to use Matplotlib for Python Plotting

• Learn to use Seaborn for statistical plots

• Use Plotly for interactive dynamic visualizations

• Use SciKit-Learn for Machine Learning Tasks

• K-Means Clustering

• Logistic Regression

• Linear Regression

• Random Forest and Decision Trees

• Natural Language Processing and Spam Filters

• Neural Networks

• Support Vector Machines

1. Some prior programming experience
2. Basic Understanding of English
3. Basic knowledge of computer
4. Ability to work in a team

Data Analyst

Data Engineers

Database Administrator

Machine Learning Engineer

Data Scientist

Data Architect