R and Python for Data Analysis Professional Certification Course
Program Name - R and Python for Data Analysis Professional Certification Course
The only professional certification course you need to learn data analysis using R and Python.
Course Overview
This comprehensive curriculum is designed to equip learners with the skills to build advanced mobile applications using Flutter and Dart. Starting with the basics of Flutter widget development, participants will explore cross-platform and native app development, diving deep into Flutter’s architecture and the Dart programming language. The course includes hands-on projects such as a timer app, a calculator, and more complex applications like a camera app and a to-do list. Advanced modules cover device hardware integration, API usage, Firebase authentication and storage, and state management using Bloc and Riverpod with Dio. The capstone project involves creating a fully functional app that integrates multiple APIs, authenticates users, and manages data storage. This curriculum is ideal for those aiming to master mobile app development from foundational to advanced levels.
What You'll Learn?
In this comprehensive curriculum, participants will learn how to develop cross-platform mobile apps using Flutter and Dart, focusing on creating robust applications that integrate with various APIs, manage state effectively with advanced techniques like Bloc and Riverpod, and utilize Firebase for authentication and storage solutions.
Duration:
42 Hours (7 Weeks)
Requirements:
Android Studio
Pre-requisite:
No pre-requisite
Batch Details
Batch Start Date
Batch Timing
Batch End Date
Batch Days
Curriculum
1. Introduction to R Programming
- Installing R and RStudio
- Basic R syntax
- Data types and structures (vectors, matrices, lists, data frames)
- Basic operations and functions
2. Data Manipulation with R
- Using dplyr for data manipulation
- Using tidyr for data tidying
- Working with dates and times
3. Data Visualization with R
- Basic plotting with base R
- Advanced visualization with ggplot2
- Interactive visualizations with plotly and shiny
1. Data Import and Export
- Reading data from CSV, Excel, and databases
- Data export to various formats
2. Data Cleaning
- Handling missing values
- Data transformation and normalization
- Dealing with categorical variables
3. Exploratory Data Analysis (EDA)
- Descriptive statistics
- Correlation analysis
- Identifying patterns and anomalies
- Probability and Statistics
- Basic probability concepts
- Descriptive and inferential statistics
- Hypothesis testing
➢ Introduction to API’s
➢ API calls in flutter
➢ How JSON serialization and deserialization is done in flutter
➢ Integrating a GET API call for products
➢ Case Study – Designing screen for displaying list of products
➢ Creating a product description screen
➢ How to send data to server using POST API calls
➢ Introduction to firebase
➢ Registering app on firebase
➢ Setting up email providers for gmail authentication
➢ Creating in gmail sign in feature
➢ How to create a sign up page
➢ Case Study – Signing user to firebase
➢ Signing up user to firebase
➢ Logout user on firebase
➢ Introduction to hooks
➢ How hooks can be an improvement against stateless and stateful widget
➢ How to use your project for flutter web
➢ Creating a custom callback hook
Project 12 – Dio plugin
➢ How to use Riverpod state management in app
➢ Using hooks state management with riverpod
➢ Using state notifiers in app
➢ Setting up API calls with Dio plugin
➢ How to implement app interceptors
➢ Handling error scenarios with Dio custom exceptions
➢ Case Study – Creating a weather forecast analysis project with riverpod and Dio
➢ Introduction to firebase storage
➢ Using firebase storage for flutter apps
➢ Accessing firebase storage for images
➢ Introduction to firebase real time storage
➢ Saving data to real time storage
➢ Fetching data from firebase real time DB
➢ Using firebase remote config in app
6. Capstone Project
Create an app in which you need to integrate API call which will fetch movie details from server. On fetching data display list of movies in a list format. Once a user clicks on a particular movie item then show the movie description in a separate screen. Authenticate user and save their details to firebase. Retrieve latest releases and banner images from firebase storage.
FAQ
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All the Tech Learniversity course available on our website are live Instructor led training.
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We do not provide EMI facility but you can convert through Credit Card or any other method as per availability.
We will provide placement assistance after the completion of the course in coming months.
Classes will be conducted on Zoom app and link will be shared via e-mail. We will be sending you the instructions on how to attend the live class in your mobile, laptop or desktop once you enroll in any of our courses.
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