We are upgrading our server for better user experience & our site will be down for a short period on 23rd November 2020, 8 PM to 12 PM GMT

Become a Python Data Analyst

4.3( 3 REVIEWS )
138 STUDENTS
Buy Now
£49 (inc. VAT)
  • 365 Days
  • Beginner and Intermediate
  • Wishlist
  • ACCREDITED BY CPD & iAP
  • 05Guided Learning Hours
  • Course Material
  • 06 Number of Modules
  • Exam Included

Overview

Get to learn all what it takes to be a skilled Python data analyst, along with insights into real-world examples, by taking this wonderful course in Become a Python Data Analyst. This course has been developed to guide individuals with a basic knowledge on Python to enhance their data analysis skills using the Python libraries and tools, and could be a great way to boost up their candidature to get into or progress within the data analysis, data science, business analysis, business intelligence and web development fields of work.

This e-course will start off by walking you through Anaconda distribution that allows you to access all the popular Python libraries, followed up by a tour on the Jupyter notebook computing platform that is essential for basic python coding purposes. This course will then move you onto explore the NumPy library of the Python programming language that is widely used in numerical and scientific computing activities and the Panda library that allows data analysis using Pytho.

You will get to discover the concepts essential to use Mtplotlib in Python and the Exploratory Data Analysis to apply them in real-world dataset. The SciPy library in Python that is used in statistical computing will also be discussed in-depth through this course, along with attention to the concepts of predictive analysis models and its relationship with machine learning. By the end of this course, you will have a well-grounded knowledge on data analysis using Python to make significant progress within the industry. 

Why study at Global Edulink?

Global Edulink offers the most convenient path to gain recognised skills and training that will give you the opportunity to put into practice your knowledge and expertise in an IT or corporate environment. You can study at your own pace at Global Edulink and you will be provided with all the necessary material, tutorials, qualified course instructor, narrated e-learning modules and free resources which include Free CV writing pack, free career support and course demo to make your learning experience more enriching and rewarding.

 

  • Access Duration 
  • Who is this course aimed at?
  • Entry Requirements
  • Method Of Assessment
  • Certification
  • Career Path
  • Other benefits

The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course.  The course is self-paced and you can complete it in stages, revisiting the lectures at any time.

This course might interest individuals aspiring to or already in the fields of data analysis, data science, business intelligence, business analysis and web development
  • Learners must be age 16 or over and should have basic understanding of the English Language, numeracy, literacy and ICT.
  • A basic knowledge or experience in Python programming is required
The course is assessed online with a final, multiple-choice test, which is marked automatically. You will know instantly whether you have passed the course.
Those who pass this test will get a certificate in Become a Python Data Analyst

With this certificate in your resume, you are sure to impress potential employers into hiring you for a number of jobs in the job market. This certificate will also pave way for your career progression by putting you in line to demand for salary increments of job promotions from your employer. Mentioned below are some of the jobs this certificate will help you land, along with the average UK salary per annum according to https://www.payscale.com/career-path-planner,

  • Data analyst – £25,972 per annum
  • Data scientist – £35,226 per annum
  • Data Manager – £29,986 per annum
  • Software engineer – £35,190 per annum
  • Software developer - £30,753 per annum
  • Business Intelligence (BI) developer – £35,618 per annum
  • Business Intelligence (BI) analyst – £30,483 per annum
  • High-quality e-learning study materials and mock exams.
  • Tutorials/materials from the industry leading experts.
  • 24/7 Access to the Learning Portal.
  • The benefit of applying for TOTUM extra Discount Card.
  • Recognised Accredited Qualification.
  • Excellent customer service and administrative support

Key Features

Gain an Accredited UK Qualification

Access to Excellent Quality Study Materials

Learners will be Eligible for TOTUM Discount Card

Personalised Learning Experience

UK Register of Learning Providers Reg No : 10053842

Support by Phone, Live Chat, and Email

Course Curriculum

Getting Started
Online Training User Manual 00:00:00
E Certificate Download Guide 00:00:00
Additional Materials & Code Files
Become a Python Data Analyst – Code Files 00:00:00
Section 1: The Anaconda Distribution and the Jupyter Notebook
1.1. The Course Overview 00:00:00
1.2. The Anaconda Distribution 00:00:00
1.3. Introduction to the Jupyter Notebook 00:00:00
1.4. Using the Jupyter Notebook 00:00:00
Section 2: Vectorizing Operations With NumPy
2.1. NumPy: Python’s Vectorization Solution 00:00:00
2.2. NumPy Arrays: Creation, Methods and Attributes 00:00:00
2.3. Using NumPy for Simulations 00:00:00
Section 3: Pandas: Everyone’s Favorite Data Analysis Library
3.1. The Pandas Library 00:00:00
3.2. Main Properties, Operations and Manipulations 00:00:00
3.3. Answering Simple Questions about a Dataset – Part 1 00:00:00
3.4. Answering Simple Questions about a Dataset – Part 2 00:00:00
Section 4: Visualization and Exploratory Data Analysis
4.1. Basics of Matplotlib 00:00:00
4.2. Pyplot 00:00:00
4.3. The Object Oriented Interface 00:00:00
4.4. Common Customizations 00:00:00
4.5. EDA with Seaborn and Pandas 00:00:00
4.6. Analysing Variables Individually 00:00:00
4.7. Relationships between Variables 00:00:00
Section 5: Statistical Computing With Python
5.1. SciPy and the Statistics Sub-Package 00:00:00
5.2. Alcohol Consumption – Confidence Intervals and Probability Calculations 00:00:00
5.3. Hypothesis Testing – Does Alcohol Consumption Affect Academic Performance? 00:00:00
5.4. Hypothesis Testing – Do Male Teenagers Drink More Than Females? 00:00:00
Section 6: Introduction to Predictive Analytics Models
6.1. Introduction to Predictive Analytics Models 00:00:00
6.2. The Scikit-Learn Library – Building a Simple Predictive Model 00:00:00
6.3. Classification – Predicting the Drinking Habits of Teenagers 00:00:00
6.4. Regression – Predicting House Prices 00:00:00
Mock Exam
Mock Exam : Become a Python Data Analyst 00:40:00
Exam
Exam : Become a Python Data Analyst 00:40:00

Students feedback

4.3

Avarage rating (3)
4.3
5 Star
4 Star
3 Star
2 Star
1 Star
    L D

    Lukas Davies

    June 05, 2019 - 5:03am
    A very attractive learning platform

    Intuitive and practical course. And the tutor was well organised.

    D W

    Dottie Wilson

    May 30, 2019 - 7:00am
    Interesting Course

    I was searching for a Python course that teaches predictive modelling and this course was a good fit. Also, the approach taken to use a case study to teach the concept was very good. If links were provided it would certainly be more helpful.

    A W

    Aaron Willis

    May 21, 2019 - 9:59am
    Great job

    If you want to learn python programming, this is a good place to start. A good course that contains the right amount of information.

Buy Now
£49 (inc. VAT)
  • 365 Days
  • Beginner and Intermediate
  • Wishlist
  • ACCREDITED BY CPD & iAP
  • 05Guided Learning Hours
  • Course Material
  • 06 Number of Modules
  • Exam Included
WhatsApp chat