Welcome, Guest: Register On Nairaland / LOGIN! / Trending / Recent / NewStats: 3,194,825 members, 7,956,118 topics. Date: Monday, 23 September 2024 at 03:21 AM |
Nairaland Forum / Nairaland / General / Coding School For Kids Adult Class Lesson Tutor Java Programming Community Membe (160 Views)
I Am A Chemistry/physics Home Lesson Tutor / News: Sho Madjozi Launches Limited Edition Kids & Adult Face Masks / Are You A Parent Or Guardian?? Do You Need A Home-lesson Tutor For Your Child?? (2) (3) (4)
(1) (Reply)
Coding School For Kids Adult Class Lesson Tutor Java Programming Community Membe by foxxymobile1(m): 11:25am On Nov 26, 2020 |
Foxxymobile Coding School for Kids Adult Class Lesson Tutor Java programming Community Member Foxxymobile Enugu Coding School Classes Lesson Tutor Visual basic programming Data Analytics Online in Enugu Visual Basic (VB) is a programming environment from Microsoft in which a programmer uses a graphical user interface (GUI) to choose and modify preselected sections of code written in the BASIC programming language Below is a break down of what the student would learn Week Topics Objectives Week One Introduction to programming Student will learn the following: Understanding the meaning of programming language Various frame works in program Be able to write a little program Week Two Data types, reserve word and programming error handling. The student will be able to master: Data types exist in the course of study. The meaning of variables and variable name. How to use it in writing a program Understand types of programming errors and how to handle it. Be able to write more than five different program with various ways mentioned above Week four Control structure The student will be able to master: How to use all types of control structures in a program. Write different program using it. Week four Functions The student will be able to master: How to create a function Know when a function suppose to return a data How function makes use of data types Know how to use recursive and iterative method Week five Connecting to database The student will be able to master: to know how to create a simple database how to link the database to the program Week Six and Seven project The student must have created a project. This course is originally 20,000(naira) but for our partner institutions we are charging 10000 naira per student Data Analytics Curriculum The intensive program will give you the analytical skills to help you further your personal and professional goals. Unit 1: Intro to Data Analytics 1.1 Introduction to Big Data and Analytics: Fundamental Concepts, Industry Practice and Applications, Technical Domains and Roles Unit 2: Probability Theory and Statistics Review with Excel 2.1 Probability Theory Fundamentals 2.2 Statistics Review: Descriptive Statistics 2.3 Introduction to Excel 2.4 Statistics Review : Inferential Statistics 2.5 Prob/Stats and Data Problem Solving with Advanced Excel Unit 3: Introduction to R and R Analytics 3.1 Introduction: RStudio, Syntax and File I/O 3.2 R Data Types and Data Objects, Basic Data Operations and Manipulation Utilities 3.3 Effective Use of Conditional Arguments, Loops and Functions 3.4 Statistical Analysis and Regression in R 3.5 Basic R Plotting and Parameter Setting 3.6 Stattleship XCase Unit 4: Predictive Analytics and Case Studies 4.1 Introduction to End-to-end Predictive Modeling Method 4.2 Introduction to Logistic Regression and Case Study I: Dental Visit 4.3 Data Exploration and Pre-processing Demonstration with Case Study II: Fraud Detection 4.4 Problem-solving Approach and Classification Model Evaluation Criteria in Case Study II: Fraud Detection Unit 5: Introduction to Tableau 5.1 Introduction to Tableau: Applications, Architecture and Working Elements 5.2 Building Data Views and Effective Data Manipulation in Tableau 5.3 Effective Use of Analytics Functions and Calculations in Tableau 5.4 Tableau Case Studies Real Projects : Each student is paired with an industry-leading employer partner on a 1:1 capstone project, where students apply data skills to real world cases and give final presentations to employers. Unit 6: Introduction: Relational Database and SQL 6.1 Relational Database, SQL Working Environment and MySQL Workbench 6.2 Relational Data Modeling - EntityRelationship Modeling (ERM) 6.3 MySQL Fundamentals: Basic Database Management Operations, Data Types, Basic Table Operation Commands and Functions 6.4 Essentials of MySQL Queries and Data Problem Solving 6.5 Burning Glass XCase Unit 7: Introduction to Machine Learning: Concepts, Algorithms and Applications 7.1 Introduction to Machine Learning 7.2 Unsupervised learning 7.3 Supervised learning 7.4 End-to-end ML in practice Unit 7: Introduction to Machine Learning: Concepts, Algorithms and Applications 7.1 Introduction to Machine Learning 7.2 Unsupervised learning 7.3 Supervised learning 7.4 End-to-end ML in practice Unit 8: Data Visualization in R 8.1 Advanced R plotting Optional Topics : Basics of NoSQL, Applications and Fundamentals Introduction: Use of RStudio Shiny, File Structure, Share On Web Input, Output and Render functions in Shiny Reactivity in Shiny Format and layout of Shiny apps Experiential: Capstone Project One-on-one Project with Employer Partner Use Data Sets to help Solve Business Problem Present to Class & Employer
|
(1) (Reply)
Victor Expresses Dismay Over Presidential Amnesty Office / Aging/ageing / Admin Please Look Into This!
(Go Up)
Sections: politics (1) business autos (1) jobs (1) career education (1) romance computers phones travel sports fashion health religion celebs tv-movies music-radio literature webmasters programming techmarket Links: (1) (2) (3) (4) (5) (6) (7) (8) (9) (10) Nairaland - Copyright © 2005 - 2024 Oluwaseun Osewa. All rights reserved. See How To Advertise. 17 |