Data Analytics Course

Part Time | 3.5 Months

Gain the skills to extract meaningful insights from raw data, delivering tangible results to diverse business stakeholders. Combined with our Career Management System, this program prepares you for employment, supporting you in securing your dream job with Clarusway’s guidance!

Data Analytics

Course Overview

Our Data Analytics Course is crafted to equip you with the skills needed to extract valuable insights from raw data, delivering measurable results to diverse business stakeholders. This Bootcamp emphasizes the practical technical knowledge essential for meticulous and swift data problem-solving.

Focused on in-demand skills sought by top employers, the Data Analytics Course covers Python programming and essential statistics. By the conclusion of the training, you’ll showcase your ability to solve intricate data problems through a comprehensive portfolio. Post-graduation, you’ll be prepared to join firms of varying sizes or embark on a freelance career as a data analyst.

Receive personalized support throughout your skill development journey, ensuring qualification for high-paying jobs in the data field. Prepare for data analytics certifications with our program. Beyond career support, we conduct profile and portfolio reviews to confirm your readiness for a data-driven career.

180+ Hours Live In-Class

54+ Hours CMS

Hands-on Activities

Beyond the curriculum, you’ll reinforce your learning through hands-on activities, including 42 activities, 6 projects, and a comprehensive capstone project at the conclusion of the course. Our program stands out for offering the most intensive training in the IT bootcamp market, ensuring our students are thoroughly prepared for successful careers!

Why Data Analytics?


Option to work remote or in office


Average salary $90,000+ in the US


Analyze the data, Design your future

Upcoming Programs

Data Analytics

Schedule : Part-time
Duration : 3.5 Months 
Curriculum : Module 1 (Data Analytics)

  • Python
  • Linux
  • GIT

Premium Data Analytics with IT Fundamentals (Only 15 spots available.)

Schedule : Part-time/Full-time
Duration : 6 Months
Curriculum : IT Fundamentals + Module 1 (Data Analytics) 
Level : Beginner (No Prerequisites)

Premium Data Analytics (Only 15 spots available.)

Schedule : Part-time/Full-time
Duration : 3 Months 
Curriculum : Module 1 (Data Analytics)

  • SQL
  • GIT
  • Python

What Will You Learn?

software development life cycle

Information Technologies Fundamentals (ITF)

  • Computer Fundamentals
  • Computational Thinking
  • Software Development Life Cycle
  • Scratch (Google CS First)
  • Agile
  • Jira
  • Linux
  • HTML
  • CSS
  • GIT
  • Programming with Python
  • SQL
  • Network
  • DevOps
project management

Data Analytics

  • Statistics
  • Data Analysis with Python
  • Relational Database & SQL
  • Data Visualization with Python
  • Data Visualization with Tableau
  • Small and Medium Projects(for each section)
  • Capstone Project

What Our Alumni Said?

Jason Turton
Jason Turton
Switch Up
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“When I realized that I was not satisfied with my previous job, I wanted to change my career. I decided to enter the field of data science, where I can improve my analytical skills and earn a high salary. While searching for a reliable school, I had the opportunity to meet Clarusway with the advice of a friend...”
Switch Up
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“While looking for the best suitable bootcamp I had been strongly recommended by a friend to Clarusway! I've never thought I could learn so much so fast and so efficiently! With Clarusway you have a chance to build up your skills get ready for real world projects...”
Course Report
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"One of the most intensive learning experiences of my life, and I loved the course. If you want to learn how to apply analytics in real-time, this is the curriculum for you. Maybe going back to school was never on your radar. This bootcamp's going to change your life. I took an immersion course, and it was terrific..."
Iden Wood
Iden Wood
Course Report
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“Clarusway has an Innovative Teaching Model. Pre-Class, In-Class, and Post-Class phases make you learn. No way you can miss the curriculum. You learn one by one all of the lessons. Clarusway uses the latest educational tools. Especially LMS is great. You can reach the content any time any place..."
Ryan Duffey
Ryan Duffey
Career Karma
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“I can honestly say that Clarusway was one of my best decisions. Having most of my professional life been spent in the automotive industry, wearing every hat, I wasn't sure how I would adapt to being in this environment for seven months...”
Career Karma
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“I've been very excited about learning data science since I began this course. The high-quality tutoring I'm getting here is making a huge difference in my life. Taking classes online is unquestionably different for me. All is so normal that it almost feels like I'm there, only I can go at my own speed and unwind... ”
S. Sum
S. Sum
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“I highly recommend Clarusway to those who want to start a new career in IT.Thanks for everything..."

Frequently Asked Questions

Upon completion of the program, students will be equipped for various careers in the field of data, such as Business Intelligence Analysts, Data Analysts, and Data Consultants.

To ascertain if this program is a good fit for you, consider if you have an interest in making data-driven decisions or analyzing various types of data. The curriculum covers applied statistics, Python, and Matplotlib, providing skills to work with diverse data sets and extract meaningful insights. This program is designed for individuals aiming to become Data Analysts or Data Consultants. Successful participation requires prior knowledge of Python, SQL Basics, and GIT. If you possess these skills and are prepared to apply them to practical projects, we recommend enrolling in the program today!

Various payment options are available, including:

The program is open to individuals with varying levels of expertise, ranging from beginners to advanced learners. We also offer an introductory-level IT Fundamentals Learning Path. There is no technical screening requirement for applicants, except for a basic assessment of communication skills. We seek individuals with motivation, commitment, discipline, and a willingness to work hard to excel in the IT field. The Data Analytics program focuses on teaching in-demand data skills, including Python and statistics, to prepare participants for a future in the industry. Intermediate-level trainees with a background in IT have the option to start the major courses (module 1) by bypassing the IT Fundamentals program.

In this program, you will acquire the skills to extract actionable knowledge from raw data, providing tangible benefits to a diverse range of business clients. The emphasis is on practical technical skills required for thorough and efficient analysis and resolution of data challenges. Upon completion of the data analytics course, you will have a portfolio demonstrating your ability to tackle complex data challenges.

The importance of data analytics lies in its versatile applications. The analysis of large datasets contributes to optimizing efficiency across various sectors, enabling organizations to excel in today’s fiercely competitive market. Data analytics plays a crucial role in predicting market trends and assessing risk in banking and finance, maximizing profits and ROI in healthcare (health informatics), crime prevention, environmental protection, gaining new insights in scientific research, handling data points of the internet of things (IoT), and more.


Enrollment in the program does not require any prerequisites for the Data Analytics with IT Fundamentals (IT Fundamentals + Module 1 (Data Analytics)) program. For the Data Analytics (Module 1 (Data Analytics)) program, prerequisites include knowledge in SQL, GIT, and Python.

Choosing a career in data analytics is a wise decision, considering the daily creation of around 3 thousand billion bytes of data and its rapid increase. Utilizing data for smart business decisions propels organizations forward, and in the dynamic business environment, leadership aims to stay at the forefront of trends and innovation, with Data Analysts playing a crucial role in leading this movement.

The average salary for Data Analysts in the United States is approximately $61,741.

Data Analytics is the process of evaluating raw data to extract meaningful, actionable insights. These insights are utilized to aid and make sensible and prudent decisions for companies.

Enrolling in the Data Analytics course is worthwhile as it equips you with essential data skills, including Python and statistics, which are highly sought after by leading companies. Upon completion, you will possess a portfolio showcasing your ability to address complex data challenges, preparing you for employment in a company or as a freelancer.

You will receive personalized assistance in developing the skills required for high-value data positions and obtaining data analytics certifications. The program offers career counseling, evaluating your profile and portfolio to assess your readiness for data-driven roles.

With over 230 hours of classroom instruction and Career Management Services (CMS) coaching, including seminars on life coaching, resume creation, LinkedIn training, and interview preparation, the data analytics course ensures comprehensive learning. Additionally, you will apply your knowledge through more than 50 hands-on events and projects by the end of the course.

Key skills necessary for data analysts include:

  • Data Visualization
  • Data Cleaning
  • R
  • Python
  • SQL and NoSQL
  • Machine Learning
  • Linear Algebra and Calculus

The commonly used tools for data analytics include:

  • Power BI
  • Tableau
  • Qlik Sense
  • ThoughtSpot
  • Oracle Analytics
  • Google Looker
  • SAP Analytics Cloud
  • Google Analytics
  • Microsoft Excel
  • Google Data Studio
  • IBM Cognos
  • TIBCO Spotfire
  • Zoho Analytics
  • Whatagraph

The typical annual salary for a Data Analyst is $62,473 in the United States.

The four types of data analytics are:

  • Descriptive analytics
  • Diagnostic analytics
  • Predictive analytics
  • Prescriptive analytics

For those interested in pursuing a career in data analytics, various educational pathways are available, including traditional Bachelor’s or Master’s degree programs and certificate programs like IT Bootcamps. A data analytics bootcamp offers a quicker and more cost-effective learning path compared to a university degree. Our programs provide an accelerated route to IT careers, featuring intensive training with experienced instructors, a well-designed Learning Management System (LMS), and a robust Career Management System (CMS).

The concept of 5V in big data pertains to a collection of data from various sources and is often characterized by five aspects: volume, value, diversity, velocity, and veracity. Grasping these five V’s is crucial for data scientists to derive enhanced value from their data.

Mastering data analytics, especially for beginners, becomes more accessible when starting with foundational elements like R or Python programming and SQL database querying. Opting for a focused IT bootcamp program with skilled instructors in data analytics offers a rapid pathway to an IT career, facilitated by a well-designed Learning Management System (LMS) and robust Career Management System (CMS).

Certainly, achieving the role of a data analyst within three months is feasible, provided the necessary prerequisites are fulfilled. The data analytics module-1 program spans a duration of 3 months, and the prerequisites include proficiency in SQL, GIT, and Python.

Indeed, coding is a requirement for data analytics, although advanced programming skills are not mandatory. Success in data analytics involves acquiring a solid foundation in Python or R and proficiency in a querying language such as SQL.

The most appropriate certifications for a Data Analyst career include:

  1. Cloudera Certified Associate
  2. Microsoft Certified: Data Analyst Associate
  3. Associate Certified Analytics Professional
  4. Certified Analytics Professional
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