Level 6 QLS Endorsed Course | CPD Accredited | Audio Visual Training | Free PDF Certificate | Lifetime Access
Level 3 QLS Endorsed Course | CPD Accredited | Audio Visual Training | Free PDF Certificate | Lifetime Access
Level 3 QLS Endorsed Course | CPD Accredited | Audio Visual Training | Free PDF Certificate | Lifetime Access
Level 5 QLS Endorsed Course | CPD Accredited | Audio Visual Training | Free PDF Certificate | Lifetime Access
Level 5 QLS Endorsed Course | CPD Accredited | Audio Visual Training | Free PDF Certificate | Lifetime Access
Level 4 QLS Endorsed Course | CPD Accredited | Audio Visual Training | Free PDF Certificate | Lifetime Access
Level 5 QLS Endorsed Course | CPD Accredited | Audio Visual Training | Free PDF Certificate | Lifetime Access
Dive deep into the vast realm of Python data science with our meticulously crafted course: 'Python Data Science with Numpy, Pandas and Matplotlib'. Explore the intricate details of Python, setting the stage with Pandas and Numpy, before delving into the power of Python data structures. With topics ranging from Python Strings to Matplotlib Histograms, you'll gain a holistic insight, ensuring that every dataset you touch unveils its story compellingly. So, if you're keen on transmuting raw data into visual masterpieces or insights, this journey is tailor-made for you. Learning Outcomes Grasp foundational knowledge of Python and its data structures like strings, lists, and dictionaries. Understand the potential of NumPy, from basic array operations to handling multi-dimensional arrays. Master the versatility of Pandas, encompassing everything from dataframe conversions to intricate operations like aggregation and binning. Efficiently manage, manipulate, and transform data using Pandas' diverse functionalities. Create visually striking and informative graphs using the power of Matplotlib. Why buy this Python Data Science with Numpy, Pandas and Matplotlib course? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Python Data Science with Numpy, Pandas and Matplotlib there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this Python Data Science with Numpy, Pandas and Matplotlib course for? Beginners eager to jumpstart their journey in Python data science. Analysts looking to enhance their data manipulation skills using Python. Statisticians keen on expanding their toolset with Python-based libraries. Data enthusiasts desiring a deep dive into Python's data libraries and structures. Professionals aiming to upgrade their data visualisation techniques. Prerequisites This Python Data Science with Numpy, Pandas and Matplotlib does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Python Data Science with Numpy, Pandas and Matplotlib was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path Data Scientist: £40,000 - £80,000 Python Developer: £35,000 - £70,000 Data Analyst: £30,000 - £55,000 Business Intelligence Analyst: £32,000 - £60,000 Research Analyst: £28,000 - £52,000 Data Visualization Engineer: £33,000 - £65,000 Course Curriculum Course Introduction and Table of Contents Course Introduction and Table of Contents 00:09:00 Introduction to Python, Pandas and Numpy Introduction to Python, Pandas and Numpy 00:07:00 System and Environment Setup System and Environment Setup 00:08:00 Python Strings Python Strings - Part 1 00:11:00 Python Strings - Part 2 00:09:00 Python Numbers and Operators Python Numbers and Operators - Part 1 00:06:00 Python Numbers and Operators - Part 2 00:07:00 Python Lists Python Lists - Part 1 00:05:00 Python Lists - Part 2 00:06:00 Python Lists - Part 3 00:05:00 Python Lists - Part 4 00:07:00 Python Lists - Part 5 00:07:00 Tuples in Python Tuples in Python 00:06:00 Sets in Python Sets in Python - Part 1 00:05:00 Sets in Python - Part 2 00:04:00 Python Dictionary Python Dictionary - Part 1 00:07:00 Python Dictionary - Part 2 00:07:00 NumPy Library - Introduction NumPy Library Intro - Part 1 00:05:00 NumPy Library Intro - Part 2 00:05:00 NumPy Library Intro - Part 3 00:06:00 NumPy Array Operations and Indexing NumPy Array Operations and Indexing - Part 1 00:04:00 NumPy Array Operations and Indexing - Part 2 00:06:00 NumPy Multi-Dimensional Arrays NumPy Multi-Dimensional Arrays - Part 1 00:07:00 NumPy Multi-Dimensional Arrays - Part 2 00:06:00 NumPy Multi-Dimensional Arrays - Part 3 00:05:00 Introduction to Pandas Series Introduction to Pandas Series 00:08:00 Introduction to Pandas Dataframes Introduction to Pandas Dataframes 00:07:00 Pandas Dataframe conversion and drop Pandas Dataframe conversion and drop - Part 1 00:06:00 Pandas Dataframe conversion and drop - Part 2 00:06:00 Pandas Dataframe conversion and drop - Part 3 00:07:00 Pandas Dataframe summary and selection Pandas Dataframe summary and selection - Part 1 00:06:00 Pandas Dataframe summary and selection - Part 2 00:06:00 Pandas Dataframe summary and selection - Part 3 00:07:00 Pandas Missing Data Management and Sorting Pandas Missing Data Management and Sorting - Part 1 00:07:00 Pandas Missing Data Management and Sorting - Part 2 00:07:00 Pandas Hierarchical-Multi Indexing Pandas Hierarchical-Multi Indexing 00:06:00 Pandas CSV File Read Write Pandas CSV File Read Write - Part 1 00:05:00 Pandas CSV File Read Write - Part 2 00:07:00 Pandas JSON File Read Write Pandas JSON File Read Write Operations 00:07:00 Pandas Concatenation Merging and Joining Pandas Concatenation Merging and Joining - Part 1 00:05:00 Pandas Concatenation Merging and Joining - Part 2 00:04:00 Pandas Concatenation Merging and Joining - Part 3 00:04:00 Pandas Stacking and Pivoting Pandas Stacking and Pivoting - Part 1 00:06:00 Pandas Stacking and Pivoting - Part 2 00:05:00 Pandas Duplicate Data Management Pandas Duplicate Data Management 00:07:00 Pandas Mapping Pandas Mapping 00:04:00 Pandas Grouping Pandas Groupby 00:06:00 Pandas Aggregation Pandas Aggregation 00:09:00 Pandas Binning or Bucketing Pandas Binning or Bucketing 00:08:00 Pandas Re-index and Rename Pandas Re-index and Rename - Part 1 00:04:00 Pandas Re-index and Rename - Part 2 00:05:00 Pandas Replace Values Pandas Replace Values 00:05:00 Pandas Dataframe Metrics Pandas Dataframe Metrics 00:07:00 Pandas Random Permutation Pandas Random Permutation 00:08:00 Pandas Excel sheet Import Pandas Excel sheet Import 00:07:00 Pandas Condition Selection and Lambda Function Pandas Condition Selection and Lambda Function - Part 1 00:05:00 Pandas Condition Selection and Lambda Function - Part 2 00:05:00 Pandas Ranks Min Max Pandas Ranks Min Max 00:06:00 Pandas Cross Tabulation Pandas Cross Tabulation 00:07:00 Matplotlib Graphs and plots Graphs and plots using Matplotlib - Part 1 00:06:00 Graphs and plots using Matplotlib - Part 2 00:02:00 Matplotlib Histograms Matplotlib Histograms 00:03:00 Resource File Resource File - Python Data Science with Numpy, Pandas and Matplotlib 00:00:00
Overview Uplift Your Career & Skill Up to Your Dream Job - Learning Simplified From Home! Kickstart your career & boost your employability by helping you discover your skills, talents and interests with our special Ultimate Job Interview in English Course. You'll create a pathway to your ideal job as this course is designed to uplift your career in the relevant industry. It provides professional training that employers are looking for in today's workplaces. The Ultimate Job Interview in English Course is one of the most prestigious training offered at StudyHub and is highly valued by employers for good reason. This Ultimate Job Interview in English Course has been designed by industry experts to provide our learners with the best learning experience possible to increase their understanding of their chosen field. This Ultimate Job Interview in English Course, like every one of Study Hub's courses, is meticulously developed and well researched. Every one of the topics is divided into elementary modules, allowing our students to grasp each lesson quickly. At StudyHub, we don't just offer courses; we also provide a valuable teaching process. When you buy a course from StudyHub, you get unlimited Lifetime access with 24/7 dedicated tutor support. Why buy this Ultimate Job Interview in English? Unlimited access to the course for forever Digital Certificate, Transcript, student ID all included in the price Absolutely no hidden fees Directly receive CPD accredited qualifications after course completion Receive one to one assistance on every weekday from professionals Immediately receive the PDF certificate after passing Receive the original copies of your certificate and transcript on the next working day Easily learn the skills and knowledge from the comfort of your home Certification After studying the course materials of the Ultimate Job Interview in English there will be a written assignment test which you can take either during or at the end of the course. After successfully passing the test you will be able to claim the pdf certificate for £5.99. Original Hard Copy certificates need to be ordered at an additional cost of £9.60. Who is this course for? This Ultimate Job Interview in English course is ideal for Students Recent graduates Job Seekers Anyone interested in this topic People already working in the relevant fields and want to polish their knowledge and skill. Prerequisites This Ultimate Job Interview in English does not require you to have any prior qualifications or experience. You can just enrol and start learning.This Ultimate Job Interview in English was made by professionals and it is compatible with all PC's, Mac's, tablets and smartphones. You will be able to access the course from anywhere at any time as long as you have a good enough internet connection. Career path As this course comes with multiple courses included as bonus, you will be able to pursue multiple occupations. This Ultimate Job Interview in English is a great way for you to gain multiple skills from the comfort of your home. Course Curriculum Section 01: English for Job Interview: Introduction How to Use this Course? 00:06:00 Better Fluency Habits - Best Learning Habits for a Better Performance 00:09:00 Strategies to Research Companies for Your Field 00:13:00 Starting Your Vocabulary and Pronunciation List 00:09:00 Question 1: Tell Me about Yourself 00:06:00 Job Interview Audio Samples Question 1: Tell Me about Yourself 00:01:00 Question 2: What are Your Key Strength? 00:04:00 Job Interview Audio Samples Question 2: What are Your Key Strengths? 00:01:00 Question 3: Why Should We Hire You? 00:03:00 Job Interview Audio Samples Question 3: Why Should We Hire You? 00:01:00 Question 4: What are Your Weaknesses or Weak Points? 00:03:00 Job Interview Audio Samples Question 4: What is Your Weak Point? 00:01:00 Question 5: Where Do You See Yourself in 5 Years? 00:04:00 Job Interview Audio Samples Question 5: Where Do You See Yourself in 5 Years? 00:01:00 Question 6: Why Do You Want this Job? 00:05:00 Job Interview Audio Samples Question 6: Why Do You Want this Job? 00:01:00 Question 7: Why Did You (or Why Do You Want to) Leave your Current Employer? 00:04:00 Job Interview Audio Samples Question 7: Why Did You (or Why Do You Want to) Leave Your Current Employer? 00:01:00 Question 8: When are You Available to Start? 00:04:00 Job Interview Audio Samples Question 8: When are You Available to Start? 00:01:00 Question 9: How Do You Deal with Pressure or Stress? 00:04:00 Job Interview Audio Samples Question 9: How Do You Deal with Pressure or Stress? 00:01:00 Question 10: How Did You Hear about the Position? 00:02:00 Job Interview Audio Samples Question 10: How Did You hear about the Position? 00:01:00 Question 11: What Do You Know about our Company? 00:03:00 Job Interview Audio Samples Question 11: What Do You Know about our Company? 00:01:00 Question 12: Do You Have Any Questions? 00:03:00 Job Interview Audio Samples Question 12: Do You Have Any Questions? 00:01:00 Question 13: What are Your Salary Expectations? 00:04:00 Job Interview Audio Samples Question 13: What are Your Salary Expectations? 00:01:00 Question 14: Describe Yourself in Three Words/ Describe Your Personality 00:04:00 Job Interview Audio Samples Question 14 : Describe Yourself in Three Words/ Describe Your Personality 00:12:00 Question 15: What Do You Like to Do in Your Free Time? 00:03:00 Job Interview Audio Samples Question 15: What Do You Like to Do in Your Free Time? 00:01:00 Section 02: How to Answer Difficult Interview Question? 5 Kinds of STAR Question 00:09:00 How to Find STAR Interview Stories 00:04:00 How to Write Your STAR Answers 00:05:00 How to Combine Your Stories with the 5 Categories of Question 00:03:00 How to Answer Difficult Interview Questions and the STAR Interview Technique 00:03:00 Tell me about a time when you worked successfully as a Member of a Team? 00:07:00 Describe a Difficult Situation or Task that you had to Deal with? 00:06:00 Tell me about Your Biggest Achievement to Date 00:06:00 Tell me about a Time When you worked with a Difficult Team Member 00:04:00 Tell me about a Time When you had to make a Difficult Decision 00:03:00 STAR Sample Answers Video 1 00:04:00 STAR Sample Answers Video 2 00:04:00 Assignment Assignment - Ultimate Job Interview in English 00:00:00