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After completing the course, you will be able to explore career opportunities in the fields such as Data Analyst Data Scientist Data Manager Business Analyst Course Curriculum 18 sections • 98 lectures • 23:48:00 total length •Welcome & Course Overview6: 00:07:00 •Set-up the Environment for the Course (lecture 1): 00:09:00 •Set-up the Environment for the Course (lecture 2): 00:25:00 •Two other options to setup environment: 00:04:00 •Python data types Part 1: 00:21:00 •Python Data Types Part 2: 00:15:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1): 00:16:00 •Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2): 00:20:00 •Python Essentials Exercises Overview: 00:02:00 •Python Essentials Exercises Solutions: 00:22:00 •What is Numpy? A brief introduction and installation instructions.: 00:03:00 •NumPy Essentials - NumPy arrays, built-in methods, array methods and attributes.: 00:28:00 •NumPy Essentials - Indexing, slicing, broadcasting & boolean masking: 00:26:00 •NumPy Essentials - Arithmetic Operations & Universal Functions: 00:07:00 •NumPy Essentials Exercises Overview: 00:02:00 •NumPy Essentials Exercises Solutions: 00:25:00 •What is pandas? A brief introduction and installation instructions.: 00:02:00 •Pandas Introduction: 00:02:00 •Pandas Essentials - Pandas Data Structures - Series: 00:20:00 •Pandas Essentials - Pandas Data Structures - DataFrame: 00:30:00 •Pandas Essentials - Handling Missing Data: 00:12:00 •Pandas Essentials - Data Wrangling - Combining, merging, joining: 00:20:00 •Pandas Essentials - Groupby: 00:10:00 •Pandas Essentials - Useful Methods and Operations: 00:26:00 •Pandas Essentials - Project 1 (Overview) Customer Purchases Data: 00:08:00 •Pandas Essentials - Project 1 (Solutions) Customer Purchases Data: 00:31:00 •Pandas Essentials - Project 2 (Overview) Chicago Payroll Data: 00:04:00 •Pandas Essentials - Project 2 (Solutions Part 1) Chicago Payroll Data: 00:18:00 •Matplotlib Essentials (Part 1) - Basic Plotting & Object Oriented Approach: 00:13:00 •Matplotlib Essentials (Part 2) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials (Part 3) - Basic Plotting & Object Oriented Approach: 00:22:00 •Matplotlib Essentials - Exercises Overview: 00:06:00 •Matplotlib Essentials - Exercises Solutions: 00:21:00 •Seaborn - Introduction & Installation: 00:04:00 •Seaborn - Distribution Plots: 00:25:00 •Seaborn - Categorical Plots (Part 1): 00:21:00 •Seaborn - Categorical Plots (Part 2): 00:16:00 •Seborn-Axis Grids: 00:25:00 •Seaborn - Matrix Plots: 00:13:00 •Seaborn - Regression Plots: 00:11:00 •Seaborn - Controlling Figure Aesthetics: 00:10:00 •Seaborn - Exercises Overview: 00:04:00 •Seaborn - Exercise Solutions: 00:19:00 •Pandas Built-in Data Visualization: 00:34:00 •Pandas Data Visualization Exercises Overview: 00:03:00 •Panda Data Visualization Exercises Solutions: 00:13:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 1): 00:19:00 •Plotly & Cufflinks - Interactive & Geographical Plotting (Part 2): 00:14:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Overview): 00:11:00 •Plotly & Cufflinks - Interactive & Geographical Plotting Exercises (Solutions): 00:17:00 •Project 1 - Oil vs Banks Stock Price during recession (Overview): 00:15:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 1): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 2): 00:18:00 •Project 1 - Oil vs Banks Stock Price during recession (Solutions Part 3): 00:17:00 •Project 2 (Optional) - Emergency Calls from Montgomery County, PA (Overview): 00:03:00 •Introduction to ML - What, Why and Types..: 00:15:00 •Theory Lecture on Linear Regression Model, No Free Lunch, Bias Variance Tradeoff: 00:15:00 •scikit-learn - Linear Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Linear Regression Model Hands-on (Part 2): 00:19:00 •Good to know! How to save and load your trained Machine Learning Model!: 00:01:00 •scikit-learn - Linear Regression Model (Insurance Data Project Overview): 00:08:00 •scikit-learn - Linear Regression Model (Insurance Data Project Solutions): 00:30:00 •Theory: Logistic Regression, conf. mat., TP, TN, Accuracy, Specificityetc.: 00:10:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 1): 00:17:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 2): 00:20:00 •scikit-learn - Logistic Regression Model - Hands-on (Part 3): 00:11:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Overview): 00:05:00 •scikit-learn - Logistic Regression Model - Hands-on (Project Solutions): 00:15:00 •Theory: K Nearest Neighbors, Curse of dimensionality .: 00:08:00 •scikit-learn - K Nearest Neighbors - Hands-on: 00:25:00 •scikt-learn - K Nearest Neighbors (Project Overview): 00:04:00 •scikit-learn - K Nearest Neighbors (Project Solutions): 00:14:00 •Theory: D-Tree & Random Forests, splitting, Entropy, IG, Bootstrap, Bagging.: 00:18:00 •scikit-learn - Decision Tree and Random Forests - Hands-on (Part 1): 00:19:00 •scikit-learn - Decision Tree and Random Forests (Project Overview): 00:05:00 •scikit-learn - Decision Tree and Random Forests (Project Solutions): 00:15:00 •Support Vector Machines (SVMs) - (Theory Lecture): 00:07:00 •scikit-learn - Support Vector Machines - Hands-on (SVMs): 00:30:00 •scikit-learn - Support Vector Machines (Project 1 Overview): 00:07:00 •scikit-learn - Support Vector Machines (Project 1 Solutions): 00:20:00 •scikit-learn - Support Vector Machines (Optional Project 2 - Overview): 00:02:00 •Theory: K Means Clustering, Elbow method.: 00:11:00 •scikit-learn - K Means Clustering - Hands-on: 00:23:00 •scikit-learn - K Means Clustering (Project Overview): 00:07:00 •scikit-learn - K Means Clustering (Project Solutions): 00:22:00 •Theory: Principal Component Analysis (PCA): 00:09:00 •scikit-learn - Principal Component Analysis (PCA) - Hands-on: 00:22:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Overview): 00:02:00 •scikit-learn - Principal Component Analysis (PCA) - (Project Solutions): 00:17:00 •Theory: Recommender Systems their Types and Importance: 00:06:00 •Python for Recommender Systems - Hands-on (Part 1): 00:18:00 •Python for Recommender Systems - - Hands-on (Part 2): 00:19:00 •Natural Language Processing (NLP) - (Theory Lecture): 00:13:00 •NLTK - NLP-Challenges, Data Sources, Data Processing ..: 00:13:00 •NLTK - Feature Engineering and Text Preprocessing in Natural Language Processing: 00:19:00 •NLTK - NLP - Tokenization, Text Normalization, Vectorization, BoW.: 00:19:00 •NLTK - BoW, TF-IDF, Machine Learning, Training & Evaluation, Naive Bayes : 00:13:00 •NLTK - NLP - Pipeline feature to assemble several steps for cross-validation: 00:09:00
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Level 3 Award in Childcare and Education Course Online The Level 3 Award in Childcare and Education course teaches learners a wide range of essential knowledge required when working with children. This childcare course covers many aspects of a child's health and development during the Early Years and the role of an Early Years Educator during this crucial stage in life. You will also study young children's physical, emotional, and nutritional needs and their exercise requirements. In the Level 3 Award in Childcare and Education course, you will learn important information that will help you whether you already work in a child care setting or hope to. Special Offers of this Martial Arts First Aid: Martial Arts First Aid Course This Martial Arts First Aid: Martial Arts First Aid Course includes a FREE PDF Certificate. Lifetime access to this Martial Arts First Aid: Martial Arts First Aid Course Instant access to this Martial Arts First Aid: Martial Arts First Aid Course Get FREE Tutor Support from Monday to Friday in this Martial Arts First Aid: Martial Arts First Aid Course Main Course: Level 3 Award in Childcare and Education course Courses with Level 3 Award in Childcare and Education Course Course 01: Speech Therapy Course 02: Paediatric First Aid Course 03: Level 2 Certificate in Understanding Common Childhood Illnesses Affecting Children Course 04: Care and support for Vulnerable Children Course 05: Level 2 Award in Babysitting Course 06: Advanced Diploma in Child Care Course 07: Child Protection and Risk Assessment Course 08: Level 2 Certificate in Behaviour that Challenges in Children Course 09: Level 3 Certificate in Understanding Autism Course 10: Level 1 Award in Working With Children [ Note: Free PDF certificate as soon as completing the Level 3 Award in Childcare and Education Course] Level 3 Award in Childcare and Education Course Online Industry Experts Designed this Level 3 Award in Childcare and Education Course into 02 detailed modules. Course Curriculum of Level 3 Award in Childcare and Education Course Module 01: Child Development from Conception to Seven Years Understand Development from Conception to Birth and Routine Screening Programmes in the First Year of Life Understand Stages and Sequences of Development from Birth to Seven Years. Understand Theory and Educational Frameworks Which Inform Knowledge and Understanding of Early Years Practice Understand the Role of the Early Years Practitioner When Promoting Child Development from Birth to Seven Years Understand How to Plan Opportunities for Children's Learning and Development from Birth to Five years. Module 02: Children's Health and Wellbeing Understand Children's Needs in Relation to Emotional Wellbeing Understand the Needs of Children During Transition and Significant Events Understand the Physical Care Needs of Children Understand the Impact of the Early Years Environment on the Health and Well-being of Children Understand the Nutritional Needs of Children Understand the Impact of Poor Diet on Children's Health and Well-being Understand Children's Need for Exercise Assessment Method of Level 3 Award in Childcare and Education Course After completing each module of the Level 3 Award in Childcare and Education Course, you will find automated MCQ quizzes. To unlock the next module, you need to complete the quiz task and get at least 60% marks. Certification of Level 3 Award in Childcare and Education Course After completing the MCQ/Assignment assessment for this Level 3 Award in Childcare and Education Course, you will be entitled to a Certificate of Completion from Training Tale. Who is this course for? Level 3 Award in Childcare and Education Course Online This Level 3 Award in Childcare and Education Course is suitable for Learners who can progress into a variety of unsupervised job roles in the public, voluntary, or private sectors. Requirements Level 3 Award in Childcare and Education Course Online Students who intend to enrol in this Level 3 Award in Childcare and Education course must meet the following requirements: Level 3 Award in Childcare Education: Good command of the English language Level 3 Award in Childcare Education: Must be vivacious and self-driven Level 3 Award in Childcare Education: Minimum Basic computer knowledge Level 3 Award in Childcare Education: A minimum of 16 years of age is required Career path Level 3 Award in Childcare and Education Course Online Many children's lives will be improved as a result of the Level 3 Award in Childcare and Education Course You can put theory into practice by working in various childcare centers and organizations to ensure the emotional and physical well-being of children. Certificates Certificate of completion Digital certificate - Included