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Data Science

New Year Sale | Learn Data Science with Amaar School | Worldclass Instructor | Free Transcript & Certificate


Amaar School

Summary

Price
£449 inc VAT
Or £74.83/mo. for 6 months...
Study method
Online, self-paced
Duration
25 hours
Qualification
No formal qualification
CPD
25 CPD hours / points
Optional extras

Digital certificate included in price

Additional info
  • Exam(s) / assessment(s) is included in price
  • Tutor is available to students

1 student purchased this course

Overview

Data Science will teach you how to handle, analyze, and communicate data insights to help you make better decisions. So, what are you waiting for? This is your chance to learn genuine Data Science at a fraction of the price of any college course.

Data Science; Take a step forward in the correct direction with our Data Science course, which is industry-standard and profession-aligned. Our expert teachers prepared this Data Science Course. If you want to fully grasp Data Science and increase your dream career skills, enrol in this Data Science Course.

In this Data Science Course, our instructor shares the tools and frameworks that allow the learners to overcome the primary and intermediate subject matters. The entire Data Science course is packed with all the necessary insights and examples from the theoretical & practical aspects of the related field; Moreover, this Data Science course is designed for every creative learner who needs it.

You will get access to prominent academics and industry leaders, a diverse and professional cohort, all the premium features, including live interactive webinars, qualified and moderated assessments, podcasts, and other high-engagement distance learning activities.

Moreover, you can solve real-world problems by collaborating with a diversified cohort of students across the world. This Data Science course can be an opportunity to maximise your skills and test the knowledge you want to accumulate.Why Amaar School?

  • Besides this Data Science Course, We Have an Enormous Selection of Programmes, Multi-language courses, Various Programmes Such as Mini-Courses, Diploma Programmes, Crash Course, Career Development Programmes, Credit & Non-Credit based Academic Courses
  • This Data Science Course Has Whole New Learning Experience with Customizable & Self-Paced Course Plan
  • This Data Science Course is Ultimately Cost-effective and Premium Quality Courses with a flexible Refund Policy.
  • Amaar School Believe Quality is Everyone's Concern So, and We Always try to Ensure the Amalgamation of Expert Instruction from Both the Senior As Well As Young Professionals. You will get the Best Education, Tips & Tricks from the Industry experts on our platform.
  • This Data Science Provides with Outstanding Learning Experience, Any Time Accessibility from Any Device You Use
  • Data Science Opens Opportunities, Support to Become Your Boss, learn at your velocity, you determine your learning swiftness. In Case of Professional Courses, We Ensure the Intensive Care & Premium Guideline
  • Data Science Course is Developed by Following the UK & EU Standards.

The innovative Data Science has been compiled with the assistance and expertise of industry professionals. This Data Science has been carefully crafted to meet all the learning requirements needed for an outstanding contribution to the related field and the career path beyond it. By enrolling in this Data Science tutorial, the student can gain a significant advantage for securing their dream career and building an excellent reputation in their personal and professional life regarding Data Science.

This popular Data Science has been designed to assist dedicated learners in becoming the absolute best in the personal & business field. Many students have already completed this Data Science course and like it. This Data Science course helped them to empower themselves to move on to satisfying and rewarding careers. This Data Science unique course is ideally suited for dedicated and ambitious individuals who are committed to genuinely becoming the best at their job or profession.

Data Science is recognised and accredited by international standards, so all contents are guaranteed to be accurate and reputable, adding valuable competencies. Additionally, this Data Science course will add qualifications to your CV, will make anyone stand out from other potential candidates or business rivals. For added convenience, Data Science was designed in a way so that learners can do this at any time and any place. Most importantly, our final assessment, the certificate of completion, will validate your acquired skills and knowledge to enter into a dynamic employment sector.

We are aware that a student's lifestyle and work pressure may not allow much time for a dedicated study session, so the Data Science has been specifically created to be taken at an individually selected pace and the hours that are suited to each learner. Full access to the Data Science course is immediately available after registration. This Data Science Course access can be achieved via any online device and at any global location, you are sighted at.

CPD

25 CPD hours / points
Accredited by The CPD Group

Course media

Description

Description of the Data Science Course

Data Science: Course Introduction & Overview

  • Data Science - Welcome & Course Overview
  • Data Science - Please read, it's important for you to know!
  • Data Science - Download_Course_Material
  • Data Science - Set-up the Environment for the Course (lecture 1)
  • Data Science - Set-up the Environment for the Course (lecture 2)
  • Data Science - Download environment file and watch next lecture to setup -- super-easy way
  • Data Science - Two other options to setup environment
  • Data Science - Important Note:
  • Data Science - Possible updates in the course.


Data Science: Python Essentials

  • Data Science - Python data types Part 1
  • Data Science - Python Data Types Part 2
  • Data Science - Comparisons Operators, if, else, elif statement
  • Data Science - Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1)
  • Data Science - Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2)
  • Data Science - Python Essentials Exercises Overview
  • Data Science - Python Essentials Exercises Solutions

Data Science: Python for Data Analysis using NumPy

  • Data Science - What is Numpy? A brief introduction and installation instructions.
  • Data Science - NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.
  • Data Science - NumPy Essentials - Indexing, slicing, broadcasting & boolean masking
  • Data Science - NumPy Essentials - Arithmetic Operations & Universal Functions
  • Data Science - NumPy Essentials Exercises Overview
  • Data Science - NumPy Essentials Exercises Solutions


Data Science:Python for Data Analysis using Pandas

  • Data Science - What is pandas? A brief introduction and installation instructions.
  • Data Science - Pandas Introduction.
  • Data Science - Pandas Essentials - Pandas Data Structures - Series
  • Data Science - Pandas Essentials - Pandas Data Structures - DataFrame
  • Data Science - Pandas Essentials - Hierarchical Indexing
  • Data Science - Pandas Essentials - Handling Missing Data
  • Data Science - Pandas Essentials - Data Wrangling - Combining, merging, joining
  • Data Science - Pandas Essentials - Groupby
  • Data Science - Pandas Essentials - Useful Methods and Operations
  • Data Science - Pandas Essentials - Project 1 (Overview) Customer Purchases Data
  • Data Science - Pandas Essentials - Project 1 (Solutions) Customer Purchases Data
  • Data Science - Pandas Essentials - Project 2 (Overview) Chicago Payroll Data
  • Data Science - Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data
  • Data Science - Pandas Essentials - Project 2 (Solutions Part 2) Chicago Payroll Data

Data Science:Python for Data Visualization using matplotlib

  • Data Science - Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach
  • Data Science - Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach
  • Data Science - Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach
  • Data Science - Matplotlib Essentials - Exercises Overview
  • Data Science - Matplotlib Essentials - Exercises Solutions
  • Data Science - Matplotlib Essentials (Optional) - Advance

Data Science:Python for Data Visualization using Seaborn

  • Data Science - Seaborn - Introduction & Installation
  • Data Science - Seaborn - Distribution Plots
  • Data Science - Seaborn - Categorical Plots (Part 1)
  • Data Science - Seaborn - Categorical Plots (Part 2)
  • Data Science - Seaborn - Axis Grids
  • Data Science - Seaborn - Matrix Plots
  • Data Science - Seaborn - Regression Plots
  • Data Science - Seaborn - Controlling Figure Aesthetics
  • Data Science - Seaborn - Exercises Overview
  • Data Science - Seaborn - Exercise Solutions

Data Science:Python for Data Visualization using pandas

  • Data Science - Pandas Built-in Data Visualization
  • Data Science - Pandas Data Visualization Exercises Overview
  • Data Science - Panda Data Visualization Exercises Solutions

Data Science:Python for interactive & geographical plotting using Plotly and Cufflinks

  • Data Science - Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1)
  • Data Science - Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2)
  • Data Science - Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview)
  • Data Science - Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions)

Data Science:Capstone Project - Python for Data Analysis & Visualization

  • Data Science - Project 1 - Oil vs Banks Stock Price during recession (Overview)
  • Data Science - Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1)
  • Data Science - Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2)
  • Data Science - Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3)
  • Data Science - Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview)

Data Science:Python for Machine Learning (ML) - scikit-learn - Linear Regression Model

  • Data Science - Introduction to ML - What, Why and Types.....
  • Data Science - Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff
  • Data Science - A note on student’s concerns and questions on FutureWarnings.
  • Data Science - scikit-learn - Linear Regression Model - Hands-on (Part 1)
  • Data Science - scikit-learn - Linear Regression Model Hands-on (Part 2)
  • Data Science - Good to know! How to save and load your trained Machine Learning Model!
  • Data Science - scikit-learn - Linear Regression Model (Insurance Data Project Overview)
  • Data Science - scikit-learn - Linear Regression Model (Insurance Data Project Solutions)

Data Science:Python for Machine Learning - scikit-learn - Logistic Regression Model

  • Data Science - Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificity...etc.
  • Data Science - Output of classification report in scikit-learn — A small change
  • Data Science - scikit-learn - Logistic Regression Model - Hands-on (Part 1)
  • Data Science - scikit-learn - Logistic Regression Model - Hands-on (Part 2)
  • Data Science - scikit-learn - Logistic Regression Model - Hands-on (Part 3)
  • Data Science - scikit-learn - Logistic Regression Model - Hands-on (Project Overview)
  • Data Science - scikit-learn - Logistic Regression Model - Hands-on (Project Solutions)

Data Science:Python for Machine Learning - scikit-learn - K Nearest Neighbors

  • Data Science - Theory: K Nearest Neighbors, Curse of dimensionality
  • Data Science - scikit-learn - K Nearest Neighbors - Hands-on
  • Data Science - scikt-learn - K Nearest Neighbors (Project Overview)
  • Data Science - scikit-learn - K Nearest Neighbors (Project Solutions)

Data Science:Python for Machine Learning - scikit-learn - Decision Tree and Random Forests

  • Data Science - Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging
  • Data Science - scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1)
  • Data Science - scikit-learn - Decision Tree and Random Forests (Project Overview)
  • Data Science - scikit-learn - Decision Tree and Random Forests (Project Solutions)

Who is this course for?

Additionally This Data Science Course Offer,

Data Science:Python for Machine Learning - scikit-learn -Support Vector Machines (SVMs)

  • Data Science - Support Vector Machines (SVMs) - (Theory Lecture)
  • Data Science - scikit-learn - Support Vector Machines - Hands-on (SVMs)
  • Data Science - scikit-learn - Support Vector Machines (Project 1 Overview)
  • Data Science - scikit-learn - Support Vector Machines (Project 1 Solutions)
  • Data Science - scikit-learn - Support Vector Machines (Optional Project 2 - Overview)

Data Science:Python for Machine Learning - scikit-learn - K Means Clustering

  • Data Science - Theory: K Means Clustering, Elbow method
  • Data Science - scikit-learn - K Means Clustering - Hands-on
  • Data Science - scikit-learn - K Means Clustering (Project Overview)
  • Data Science - scikit-learn - K Means Clustering (Project Solutions)

Data Science:Python for Machine Learning - scikit-learn - Principal Component Analysis (PCA)

  • Data Science - Theory: Principal Component Analysis (PCA)
  • Data Science - scikit-learn - Principal Component Analysis (PCA) - Hands-on
  • Data Science - scikit-learn - Principal Component Analysis (PCA) - (Project Overview)
  • Data Science - scikit-learn - Principal Component Analysis (PCA) - (Project Solutions)

Data Science:Recommender Systems with Python - (Additional Topic)

  • Data Science - Theory: Recommender Systems their Types and Importance
  • Data Science - Python for Recommender Systems - Hands-on (Part 1)
  • Data Science - Python for Recommender Systems - - Hands-on (Part 2)

Data Science:Python for Natural Language Processing (NLP) - NLTK - (Additional Topic)

  • Data Science - Natural Language Processing (NLP) - (Theory Lecture)
  • Data Science - NLTK - NLP-Challenges, Data Sources, Data Processing .....
  • Data Science - NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing
  • Data Science - NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW....
  • Data Science - NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes ...
  • Data Science - NLTK - NLP - Pipeline feature to assemble several steps for cross-validation

Who is this Data Science course for?

For you, if you:

  • Want to learn Data Science with Python
  • Want to learn Machine Learning with Python
  • Are tired of complicated courses and "Learn by Doing"

Requirements

Requirements for this Data Science Course

  • A PC and passion to be successful!
  • Some experience in programming could be helpful but not required!

Career path

Career path for this Data Science Course

  • Data Science Director £120,000 - £165,000 per annum
  • Data Science Expert £90,000-£120,000 per annum
  • Data Science Engineer £35,000 - £55,000 per annum
  • Data Science Manager £75,000 -£95,000 per annum
  • Data Science Consultant £50,000 - £70,000 per annum
  • Head of Data science £100,000 - £110,000 per annum
  • Senior Data Science Engineer £50,000 - £75,000 per annum

Questions and answers

Currently there are no Q&As for this course. Be the first to ask a question.

Optional extras

Digital certificate

Certificate of completion is included in course price

Reviews

Currently there are no reviews for this course. Be the first to leave a review.

FAQs

What does study method mean?

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

What are CPD hours/points?

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

What is a ‘regulated qualification’?

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

What is an ‘endorsed’ course?

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body’s logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.