Clarusway

Course Description:

In this course, participants will learn data types, data structure, and data lifecycle. Participants will gain a deep understanding and ability to derive insightful knowledge from raw data. This program focuses on the practical technical knowledge required to analyze and solve data problems in a meticulous and fast-paced way, it includes statistics basics, python libraries, pandas, NumPy, scipy, and stats, and diving into SQL, from designing to querying. Participants will learn how to analyze data to make better decisions and get a solid foundation in statistics to interpret the data better.
Program Flow:
● Data Analytics (13 Weeks)
Program Coverage:
● 210+ Hours In-class Training
● 60+ Hours Mentoring Service
● 10+ Assignments & Projects
● 3 Capstone Project
● CMS (Career Management Service) Support until First Hiring
Targeted Job Titles:
● Business Intelligence Analyst
● Data Analyst
● Tableau Developer
● Data Consultant
Eligibility: Candidates are supposed to have intermediate python programming knowledge and familiarity with fundamental IT issues such as Linux, Git/GitHub, and SQL Basics.

Subjects:
SciPy, NumPy, Python, Data Analytics, SQL, Statistics & Probability, Pandas

Course Description:

This program starts with a 6-week Prep for DS training specially prepared for those new to Data Analytics. With the guidance of your personal mentor and career coaches, you will graduate with an interview-ready portfolio and a network of Data Analysts/Scientists.
In this course, participants will learn data types, data structure, and data lifecycle. Participants will gain a deep understanding and ability to derive insightful knowledge from raw data. This program focuses on the practical technical knowledge required to analyze and solve data problems in a meticulous and fast-paced way, it includes statistics basics, python libraries, pandas, NumPy, scipy, and stats, and diving into SQL, from designing to querying. Participants will learn how to analyze data to make better decisions, get a solid foundation in statistics to interpret the data better, and prepare and share dashboards with this insight to stakeholders.
Program Flow:
● Prep for DS (6 Weeks)
● Data Analytics (19 Weeks)
Program Coverage:
● 250+ Hours In-class Training
● 45+ Hours Mentoring Service
● 50+ Hours Lab/Project Sessions
● 5+ Projects
● 1 Capstone Project
● CMS (Career Management Service) Support until First Hiring
Targeted Job Titles:
● Business Intelligence Analyst
● Tableau Developer
● Data Analyst
● Data Consultant
Eligibility:
● No 4-year degree required
● No previous coding experience required

Subjects:
NumPy, Python, Data Analytics, SQL

Course Description:

Learn how to
● Extract knowledge and insights from different data types,
● Use scientific methods, processes, algorithms, and systems in this interdisciplinary field and get the essential skills expected from a data scientist & ML Engineer.

Through this program, in addition to learning how to build complex quantitative algorithms and synthesize large amounts of information, gain the leadership and communication skills necessary to deliver measurable and tangible results to a variety of business stakeholders!

Program Flow:
● Preparatory Course (50+Hrs)
● Data Analytics (15 Weeks)
● Machine Learning & Deep Learning (15 Weeks)

Program Coverage:
● 350+ Hours In-class Training
● 45+ Hours Mentoring Service
● 80+ Hours Lab/Project Sessions
● 12+ Real Life Projects
● 4 Capstone Projects
● CMS (Career Management Service) Support until First Hiring

Targeted Job Titles:
● Business Intelligence Analyst
● Data Analyst
● Tableau Developer
● Data Scientist
● Machine Learning Engineer
● Data (Science) Consultant

Eligibility: Candidates are supposed to have intermediate python programming knowledge and familiarity with fundamental IT issues such as Linux it and SQL Basics.

Subjects:
Machine Learning, Data Analytics, Data Science

Course Description:

(This program starts with a 12-week IT Fundamentals (ITF) training specially prepared for those new to the IT sector or those needing significant skills building. You can skip this part if you are eligible. The duration of ITF is not added to the total duration.)

(After ITF), we deep dive into data science and machine learning fundamentals with Python. Throughout the course, you will gain a comprehensive understanding of the entire data science process from end to end, including data prep, data analysis, and visualization, as well as how to properly apply machine learning algorithms to various situations or tasks and model deployment on the cloud. This course was designed to prepare you for the real world. Each week, you’ll tackle interview-style questions and weekly exercises as you learn new topics to build the skills needed to land a new job as you learn the topics themselves.

What You’ll:
- Learn the end-to-end data science process, including data prep, data analysis, visualization, as well as use cases for both machine learning and deep learning algorithms - Walk away with a work-applicable understanding of the Data Science process and how to use the methodologies and tools to solve real-world problems in business and academia. - Learn how to retrieve and manipulate data using Python and SQL
- Learn how to prepare the dashboard that the business world needs on Tableau BI Tool - Get an understanding of the importance of machine learning and the future growth of the industry
- Get a deep understanding of the strengths and weaknesses of different Machine Learning algorithms
- Learn how to deploy a model on the cloud systems such as AWS.
- Get a portfolio of projects to showcase to employers.

Course Description:

This bootcamp begins with the Prep for DS courses such as Python (beginner to intermediate), Linux, and Git. After Prep for DS, we deep dive into the fundamentals of data science and machine learning with Python. Throughout the course, you will gain a comprehensive understanding of the entire data science process from end to end, including data prep, data analysis, and visualization, as well as how to properly apply machine learning algorithms to various situations or tasks and model deployment on the cloud. This course was designed to prepare you for the real world. Each week, you’ll tackle interview-style questions and weekly exercises as you learn new topics so that you are building the skills needed to land a new job as you learn the topics themselves.

What You’ll:
● Learn the end-to-end data science process including data prep, data analysis, visualization, as well as use cases for both machine learning and deep learning algorithms
● Walk away with a work applicable understanding of the Data Science process and how to use the methodologies and tools to solve real-world problems in business and academia
● Learn how to retrieve and manipulate data using Python and SQL
● Learn how to prepare the dashboard that the business world needs on Tableau BI Tool
● Get an understanding of the importance of machine learning and the future growth of the industry
● Get a deep understanding of the strengths and weaknesses of different Machine Learning algorithms
● Learn how to deploy a model on the cloud systems such as AWS.
● Get a portfolio of projects to showcase to employers

Program Flow:
● Prep for DS (8 Weeks)
● Data Analytics (15 Weeks)
● Machine Learning & Deep Learning (15 Weeks)

Program Coverage:
● 450+ Hours In-class Training
● 70+ Hours Mentoring Service
● 100+ Hours Lab/Project Sessions
● 12+ Real World Projects
● 4 Capstone Projects
● CMS (Career Management Service) Support until First Hiring

Targeted Job Titles:
● Business Intelligence Analyst
● Data Analyst
● Tableau Developer
● Data Scientist
● Machine Learning Engineer
● Data (Science) Consultant

Eligibility:
● No 4-year degree required
● No previous coding experience required

Subjects:
Linux, Git, Python, AWS, Data Science

Course Description:

This course is designed for people with previous experience in the IT industry.

Following the completion of the preparation period, a 14-week DevOps training will begin. The skills you learn in our DevOps Learning Path will enhance your qualifications and open more significant opportunities to significantly leverage your income as a much sought-after professional in the high-demand IT job market.

Subjects:
DevOps

Course Description:

This course is designed for people with previous experience in the IT industry.
Following the completion of the preparation period, a 13-week DevOps training will begin. The skills you learn in our DevOps Learning Path will enhance your qualifications and open more significant opportunities to significantly leverage your income as a much sought-after professional in the high-demand IT job market.

Course Description:

Front End web development is the practice of converting data to a graphical interface, through the use of HTML, CSS, and JavaScript, so that users can view and interact with that data.

Front End web development includes many different technologies, and the environment is constantly changing. In this course, you will learn the basics of all the different aspects of front-end web development and how to develop and keep your skills up to date.

This program teaches students web development skills that will help them communicate their ideas open to all stakeholders to manage a technical team in an authentic way and also teaches HTML, CCS, Javascript, and more to begin their journey to becoming highly desirable front-end developers.

Program Flow:
● Optional Prep. Course (4 Weeks)
● FrontEnd (17 Weeks)

Program Coverage:
● 50 Hours Prep. Course
● 240 Hours in-class training
● 30 Hours Mentoring Service
● 112 Hours Lab/Project Sessions
● 15+ Projects
● 1 Capstone Project
● CMS (Career Management Service) Support until First Hiring

Targeted Job Titles:
● Front End Developer
● Web Developer
● React Developer
● JavaScript Developer

Subjects:
CSS, HTML, React.js, JavaScript, Front-End Web Development, Web Development

Course Description:

This program starts with a 12-week IT Fundamentals (ITF) training specially prepared for those new to the IT sector or those needing significant skills building.

Front-end web development is the practice of converting data to a graphical interface, through the use of HTML, CSS, JavaScript, and React so that users can view and interact with that data.

Front-end web development includes many different technologies, and the environment is constantly changing. In this course, you will learn the basics of all the various aspects of front-end web development and how to develop and keep your skills up to date.

This program teaches students web development skills that will help them communicate their ideas open to all stakeholders to manage a technical team authentically and also teaches HTML, CCS, Javascript, and more to begin their journey to becoming highly desirable front-end developers.

Program Flow:
● IT Fundamentals (12 Weeks)
● FrontEnd (15 Weeks)

Program Coverage:
● 500 Hours In-class Training
● 90 Hours Mentoring Service
● 196 Hours Lab/Project Sessions
● 15+ Projects
● 1 Capstone Project
● CMS (Career Management Service) Support until First Hiring

Targeted Job Titles:
● FrontEnd Developer
● Web Developer
● React Developer
● JavaScript Developer
● Python Developer

Eligibility:
● No 4-year degree required
● No previous coding experience required

Subjects:
CSS, HTML, Information Technology, JavaScript, Front-End Web Development

Course Description:

The Full Stack Web Development program we offer can lead any beginner through the process or take intermediate to advanced-level professionals to the next level in their careers! The learning path starts with the IT Framework for beginners and continues with the Front-end and Back-end developer course modules.

A full-stack web developer is a programmer who has the basic knowledge of all layers of an application. Each layer is called a “stack.” Full stack web developers have the ability to design complete web applications and websites which requires both front-end and back-end skills. They work on the database and debugging of web applications or websites. Are you ready to give your career a boost?

Subjects:
React.js, Django, Back-End Web Development, Front-End Web Development, Web Development