Data Science With Python -Instructor-Led Online Live

Entry requirements

Course Highlights

• Hands-on practice

• Industry-standard Project development

• Learn from experts

• Interactive teaching

• Personality development

Evaluation Criteria

• 18 Coding exercises

• 5 Assignments

• 5 Quizzes

• Capstone Project

• Group activities

• Presentations

Assessment Criteria

To earn the certificate, students must clear all the assessments, quizzes, and project work. At a minimum, students are required to satisfy the pass criteria of the course. Students who score 75% or more will be awarded Merit Grade, while students with 85% or more will be awarded, Distinction Grade.

Following are the detailed criteria for each level

Pass Grade Criteria

Score minimum 50% aggregate and demonstrate the following;

• Proficiency in the technical skills and techniques

• Must have a minimum attendance of 90% in the classes unless proper medical proof is provided

• Submit all the projects and assignments before the last submission date

• Collaborate with peers in group projects

Merit Grade Criteria

Score minimum 75% aggregate and demonstrate the following;

• Excellent technical skills and techniques

• Discover and apply strategies to find the perfect solutions

• Select/design and apply appropriate methods/techniques

• Present and communicate appropriate findings

Distinction Grade Criteria

Score minimum 85% aggregate and demonstrate the following;

• Mastery of technical skills and techniques

• Use critical thinking for self-evaluation and justify valid conclusions

• Take the responsibility the manage and organise activities and teams

• Showcase convergent/lateral/creative thinking.

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.

Reasons to Choose LSET

• Interactive live sessions by the industry experts.

• Practical classes with project-based learning with hands-on activities.

• International learning platform to promote collaboration and teamwork.

• Most up-to-date course curriculum based on current industry demand.

• Gain access to various e-learning resources.

• One-to-one attention to ensure maximum participation in the classes.

• Lifetime career guidance to get the students employed in good companies.

• Free lifetime membership to the LSET Alumni Club

Complete Learning Experience

LSET prepares you to become a professional Data Science engineer. Our Data Science course focuses on providing you a complete hands-on learning experience to help you learn the fundamentals of Data Scientist in a practical manner.

• LSET’s Data Science Testing Course teaches you the latest industry popular tools.

• We provide you access to latest updates on the Data Science industry trends.

• We let you explore the learning opportunities through hands-on sessions.

• LSET gives live mentor support and concept simplification to every student to understand the concept of Data Scientist.

• We give you an opportunity to work on the real world examples.

What Will Be Your Responsibilities?

• Work creatively in a problem-solving environment.

• Ask questions and participate in the class discussions.

• Work on assignments and quizzes on timely manner.

• Read additional resources on the course topics and ask questions in the class.

• Actively participate in the team projects and presentations.

• Work with the career development department to prepare for interviews

• Respond to the instructors, student service officers, career development officers, etc. in a timely manner.

• And most importantly, have fun while learning at LSET

Benefits of LSET Certificate

Earning the LSET Certificate means you have demonstrate hard working capabilities and learnt the latest technologies by completing hands-on exercises and real world projects. Following are some of the traits employers can trust you have built up through your course;

• You know how to work in a team environment and communicate well.

• You know the tools which are necessary in your desired job.

• You know how to use the latest technologies to develop technologically advanced solutions

• You have developed problem solving skills to navigate through complex problem scenarios and figure out right solutions.

• You are now ready to take on the challenge and help your prospective employer to build the desired solutions

What to expect after completing the course?

After earning your certificate from LSET, you are entitled to join the LSET’s Alumni club. There are countless benefits associated with the Alumni Club membership. As a member of LSET Alumni you can expect the following;

• LSET to hold your hand all the way to find a successful career

• Advice you on choosing right career based on your passion and goals

• Connect you with industry experts for career progression

• Provide you opportunities to participate in events to keep yourself updated

• Provide you an opportunity to contribute to the game changing open source projects

• Provide you a platform to shine by giving you an opportunity to speak at our events

Months of entry

January, May, September

Course content

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.

Data Scientist is one of the most amazing career options that offer high salaries, immense job satisfaction, and astonishing growth opportunities. Further, this profession offers an amazing job satisfaction rating of 4.4 out of 5. As per the survey by Harvard Business Review, Data Scientist is the most desirable profession of the 21st century. In this course, we will work on your core skills like a python programming language, frameworks for data science processes, Machine learning, and data science projects, hands-on practice of data preprocessing techniques, and a lot more.

Career perspective

Data science is one of the most lucrative and desirable career options for It Professionals. As per the survey growth for data science, jobs will grow about 30% through 2026. Currently, the average salary of a Data Scientist in the UK is £49,591 annually. Data scientists are hot assets currently. A career in this domain promises insanely high salary, Global recognition, and amazing growth opportunities.

Data science is everywhere, be it smart cars, automated voice assistants, smart factories, smart sales predictions, smart investment, smart marketing, and advertising, smart decision making, and many more. Companies across the globe are rushing towards automation which manifests that there is a huge demand for data science professionals. Top companies like Facebook, Apple, Google, Oracle, Microsoft, IBM, Amazon, and many more hiring data science professionals.

Technologies Covered

Python programming language: It is an interpreted high-level programming language used for web development, machine learning, AI, ML, and a lot more. It provides a clear approach to programmers to write a clear and logical approach.

NumPy: it is a python library that consists of the multidimensional array and a collection of mathematical functions to operate on this array

Pandas is a software library used for Data Analysis and manipulation. It offers operations and data structure and operations for manipulating time series and numerical tables.

Matplotlib is a python library that makes matplotlib work like MATLAB. It provides an object-oriented API for inculcating plots into the application using GUI.

Plotly is an open-source plotting library that supports a wide range of scientific, financial, and geographical use cases.

SciKit-Learn is a Machine Learning library for the Python programming language. It features various regression, classification, and clustering algorithms.

JOB GUARANTEE PROGRAM

The Job Guarantee program is available only to candidates who enrol in Option 3 (Project and Industrial Training and Paid Internship Program). It is important to note, however, that the Job Guarantee program has its own selection criteria, so not everyone may be considered for the program. To learn more about the Job Guarantee program, please visit Job Guaranteed Software Courses

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.

Information for international students

The London School of Emerging Technology has two levels of fee structures, one for home students and another one for international students who are enrolling in our certificate and advanced certificate courses. The fee for all the courses at LSET is the same until it is exclusively mentioned on the course page.

Fees and funding