The Data Science Course 2020: Complete Data Science Bundle

Data scientist is one of the best suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace.

However, supply has been very limited. It is difficult to acquire the skills necessary to be hired as a data scientist.

And how can you do that?

Universities have been slow at creating specialized data science programs. (not to mention that the ones that exist are very expensive and time consuming)

The e-Courses4you online training course covers the core topics and will focus on the below;

The Solution

Data science is a multidisciplinary field. It encompasses a wide range of topics.

Understanding of the data science field and the type of analysis carried out

Mathematics

Statistics

Python

Applying advanced statistical techniques in Python

Data Visualization

Machine Learning

Deep Learning

Certificate of completion

Digital certificate - Included

What skills do I need to become a Data Scientist?

Analytical skills

Data scientists know what data is and isn’t useful, using their insights to solve wider business problems such as conversion and customer retention using the trends they find.

Programming languages

Whether you’re a data scientist, analyst or working in infrastructure, you’ll need an understanding of the industry’s basic programming languages, and how to use frameworks.

Maths & statistics

A background in mathematics and stats is great, especially when building or managing databases. It’ll also help with data modelling, the process of knowing which data requirements a business needs for its problems.

Presentation & communication

Professional data scientists are adept at presenting their findings to the rest of their teams. You’ll need to know the best ways to visualise and communicate insights in formats that every team can use.

The Data Science Course 2020: Complete Data Science Bundle includes 12 months of access to the below courses:

Deep Learning & Computer Vision: An Introduction - 2 hrs
Recommendation Systems in Python - 4.5hrs
Machine Learning: Decision Trees & Random Forests - 4.5 hrs
Twitter Sentiment Analysis in Python - 3.5 hrs
Python Programming: From Beginner to Intermediate - 10.5 hrs
Quant Trading Using Machine Learning - 11 hrs
Apache Storm: Learn by Example - 4 hrs
Factor Analysis - 1.5 hrs
Linear & Logistic Regression - 5 hrs
Machine Learning for Apps - 6.5 hrs
Machine Learning with Python - 5hrs
Data Analysis with Python and Pandas - 6 hrs

Highlights:

Discover Core Machine Learning Concepts & Build An Artificial Neural Network
Build a movie recommendation system in Python
Learn Intuitive Machine Learning Techniques by Exploring a Classic Problem
Use Python and the Twitter API to build your own sentiment analyzer
Go from beginner to intermediate level Python user
Apply Machine Learning techniques to Quant Trading
Use Principal Components Analysis to Extract Factors
Build Regression Models with Principal Components in Excel, R, Python
Understand the risks involved in regression and avoid common pitfalls
Use simple & multiple regression to explain variance & predict an outcome
Delve into complex logic and data structures
Build more intelligent apps and your own ML models
and more!

Project Files & Supplemental Material included!

What you'll learn

• The course provides the entire toolbox you need to become a data scientist
• Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, Advanced statistical analysis, Machine Learning with stats models and Deep learning.
• Impress interviewers by showing an understanding of the data science field
• Learn how to pre-process data
• Understand the mathematics behind Machine Learning
• Start coding in Python and learn how to use it for statistical analysis
• Perform linear and logistic regressions in Python
• Carry out cluster and factor analysis
• Be able to create Machine Learning algorithms in Python, using NumPy and statsmodels.
• Apply your skills to real-life business cases
• Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big data
• Unfold the power of deep neural networks
• Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance
• Warm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situations

What jobs will I be qualified for?

Upon completing the collection you will be able to pursue a career in:

• Data Scientist
• Data Engineer
• Developer

The average earnings for an individual working in data science is £65,000 per annum (source: ITjobswatch, UK Only).

How do I study?

You study online around your own schedule with our easy to use interactive student interface which is designed to make the learning experience as enjoyable as possible. Our content is delivered via a mixture of easy to follow video's, question and answer sections and interactive test prep. When in your account you will work from your own personalised learning platform, that will log and track your course progress.

Why choose us?

• Study job spefic industry recognised courses
• Student support
• Job finder service
• Progress reports
• Exam booking support
• Over 90% first time passrate
• 14 day no quibble money back guarantee

Career Support

Every student has access to our soft skills training pack that includes career support courses such as Interviewing Techniques and C.V building. These courses will give you the skills you need to head into the job market and boost your employability.

On completion of your training course, you will have the skills and confidence to jump straight into a role that suits you.

Our careers advisors have their ears to the ground and are on hand to offer you industry and job specific advice on any career path you decide to follow and ask about our job search service we offer to our students.

You should take this course if you want to become a Data Scientist or if you want to learn about the field.

This course is for you if you want a great career in the Data science field and the course is also ideal for beginners, as it starts from the fundamentals and gradually builds up your skills.

Requirements

• No prior experience is required. We will start from the very basics.

• A copy of Microsoft Excel 2003, 2010, 2013, 2016, or 365 is advisable.

Once you have completed your Data Science course you will be able to unlock job opportunities all over the world Potential roles include;

Data Scientist

Data Engineer

Developer

Analyst

Senior Data Scientist

Architect

Software Engineer

Python Engineer

Data Analyst