Best Courses On Coursera To Enroll |Development

Best coursera courses free to enroll |Development

How to Enroll?

1) So if you don't have an account on Coursera, signup for an account  

2) In these pandemics, Coursera offers free enrollment for 7 days where you can complete your course and get a certificate

3) Another way is to apply for financial aid where you will get free access tom courses for a lifetime and will get a certificate

For info on Financial aid Click here 

so in this list we are providing Coursera courses free on;

1) Introduction to Data Science in Python

This course can introduce the learner to the fundamentals of the python programming surroundings, as well as basic python programming techniques like lambdas, reading and manipulating csv files, and also the NumPy library.

The course can introduce information manipulation and cleanup techniques victimization the popular python pandas information science library and introduce the abstraction of the Series and DataFrame because the central information structures for information analysis, beside tutorials on the way to use functions like groupby, merge, and pivot tables effectively. By the top of this course, students are ready to take tabular information, clean it, manipulate it, and run basic inferential applied mathematics analyses.

WHAT YOU WILL LEARN

• Understand techniques such as lambdas and manipulating csv files
• Describe common Python functionality and features used for data science
• Query DataFrame structures for cleaning and processing
• Explain distributions, sampling, and t-tests

2) SQL for Data Science

As demand for data collection has increased rapidly, thus the requirement for individuals experienced at the mistreatment and interacting with data; to be ready to assume critically, and supply insights to create higher choices and optimize their businesses

The skills necessary to be a good data scientist include the ability to retrieve and work with data, and to do that you need to be well versed in SQL, the standard language for communicating with database systems.

This course is designed to give you an introduction to the fundamentals of SQL and work with data so that you can begin to analyze it for data science purposes. You will begin to ask the right questions and get good answers to provide valuable information for your organization. This course starts with the basics and assumes you have no SQL knowledge or skills. It will build on that base and gradually you will have to write simple and complex queries to help you select data from the tables. You will start working with different types of data, such as strings and numbers, and will analyze methods to filter and narrow your results.

WHAT YOU WILL LEARN

• Identify a subset of data needed from a column or set of columns and write a SQL query to limit to those results.
• U​se SQL commands to filter, sort, and summarize data.
• Create an analysis table from multiple queries using the UNION operator.
• Manipulate strings, dates, & numeric data using functions to integrate data from different sources into fields with the correct format for analysis.

3) Programming Foundations with JavaScript, HTML and CSS

Learn basic programming concepts (for example, functions, loops, conditional statements) and how to solve problems as a programmer. Also, learn basic web development as you build web pages using HTML, CSS, JavaScript. 

At the end of the course, you will create a web page where others can upload your images and apply image filters that you create.

After completing this course, you'll be able to:
1. Think critically about a way to solve a controversy using programming;
2. Write JavaScript programs using functions, loops, and conditional statements;
3. Use HTML to make an internet page with paragraphs, divs, images, links, and lists;
4. Add styles to an internet page with CSS ID and classes; and
5. Make an internet page interactive with JavaScript commands like alert, onClick, onChange, adding input functions like a picture canvas, a button and a slider.

4) Functional Programming in Scala Specialization

These is a bundle of 5 courses

Did you know that Scala is the core of huge websites like Twitter and Tumblr?

These 5-course features will prepare you to work on projects like this. The encoding tutorial will teach you how to write elegant feature code, analyze and control data, design libraries and APIs, build pro applications, and more. During your rock theme, you build real-time data processing software using real data.

These Specialization includes 

1. Functional Programming Principles in Scala 
2. Functional Program Design in Scala 
3. Parallel programming
4. Big data analysis with scala and spark
5. Functional programming in scala capstone 

WHAT YOU WILL LEARN

Scala Programming, Parallel Computing, Apache Spark, Functional Programming, RecursionArray, ProgrammingStreams, Functional Design, Reactive Programming, Data Structure, Data Parallelism, Parallel Algorithm.

5) R Programming

In this tutorial you will learn how to program in R and how to use R for efficient data analysis. You will learn how to install and configure the software needed for a statistical programming environment and describe the concept of a general programming language as implemented in a high-statistical language.

 This course covers practical issues in statistical computing, including programming in R, reading data to R, accessing the R package, writing the R function, decoding, archiving the R code, and organizing and evaluating the R code. The topic in statistical data analysis provides examples of work.

• Understand critical programming language concepts
• Configure statistical programming software
• Make use of R loop functions and debugging tools
• Collect detailed information using R profiler