Data Analytics


Data Analytics is the systematic process of examining, cleansing, transforming, and interpreting raw data with the goal of deriving useful insights and making informed decisions. It involves various techniques and technologies to uncover patterns, trends, and correlations within datasets, which can then be used to drive business strategies, improve operations, and enhance performance. From descriptive analytics, which focuses on summarizing historical data, to predictive and prescriptive analytics, which aim to forecast future outcomes and recommend actions, the field of data analytics encompasses a wide range of methodologies and tools. With the exponential growth of data generated by digital platforms and devices, data analytics has become increasingly indispensable across industries, offering opportunities for organizations to gain a competitive edge, optimize processes, and innovate solutions to complex challenges.

Who We Are?

We are pioneers of a new and powerful era of education. At Chools, we strive to bring you the best and make you employable.

With carefully curated content and 24×7 support at your fingertips, you will never have to look elsewhere again.

We are the best trainers in the latest, coveted technologies across the globe, and we can help you carve your career. Come learn with us and give yourself the gift of knowledge.


  Gain proficiency in using Excel and SQL to process and analyze data.

Use advanced technologies to display data through visual     reports and leadership boards after analysing it using Power-BI and Tableau applications to support decision making.

The ability to use data cleaning techniques effectively, whether using Microsoft Excel or SQL, with the aim of  collecting and summarizing data more accurately and quickly, by applying advanced functions.

Apply data analysis techniques to express its values and meanings in a simplified way that is easy to understand by stakeholders.


Improve the growth & efficiency of your organization by leveraging Business & Consulting Toolkits created by ex-McKinsey, Deloitte & BCG Consultants

  • It cost us $500k+ to create all our Business & Consulting Toolkits.
  • Get them for a fraction of this cost

It’s like hiring Management Consultants to create all the practical Frameworks, Tools & Templates required to get a competitive advantage

Get the job done quicker and never start from scratch again with our ready-made & fully editable Frameworks, Tools & Templates in PowerPoint & Excel

We have worked 20,000+ hours over the past 5 years to create the world’s best Business & Consulting trainings.

Improve your skills & capabilities and meet your professional goals by learning how the Fortune 100 and Global Consulting Firms do it.

Hiring top-tier Consultants for a management consulting project would cost you $300k+. A lot more expensive than purchasing our Toolkits.

Get free support and advice from our  Chools Management Consultants.

Impress yours take holders and become your organization’s subject matter expert with world-class approaches to resolve common business problems.

Projects Developed
Hiring Partners
Hrs. of classes delivered

Data Analytics Is A Hub of Job Junctions

  • Growing Demand: The increasing reliance on data-driven decision-making across industries has led to a surge in demand for data analytics professionals.
  • Diverse Industries: Data analytics jobs are available in various sectors including finance, healthcare, retail, technology, and more, offering a wide range of career options.
  • Role Diversity: Roles in data analytics span from entry-level positions like data analysts to advanced roles such as data scientists and machine learning engineers, accommodating professionals with diverse skill sets and experience levels.
  • High Salaries: Data analytics roles often come with competitive salaries and benefits due to the specialized skills and expertise required.
  • Continuous Innovation: The field of data analytics is constantly evolving with new tools, technologies, and methodologies, creating ongoing demand for skilled professionals who can adapt to these changes.
  • Impactful Insights: Data analytics professionals play a crucial role in extracting actionable insights from data, which directly impact business strategies, product development, marketing campaigns, and more.
  • Global Opportunities: The demand for data analytics talent is not limited by geographic boundaries, providing opportunities for professionals to work in diverse locations around the world.
  • Job Security: Given the strategic importance of data analytics in modern business operations, professionals in this field often enjoy greater job security compared to many other roles.
  • Cross-Disciplinary Skills: Data analytics requires a blend of technical skills such as programming and statistical analysis, as well as domain-specific knowledge depending on the industry, making it an attractive field for individuals with diverse backgrounds.
  • Career Advancement: Data analytics offers ample opportunities for career growth and advancement, with pathways to leadership roles, specialized domains like artificial intelligence and big data, and entrepreneurship.


Topic 1: Business Statistics – 3 Modules,

Topic 2: Understanding Data Analytics – 7 Modules

Topic 3: Basic to Advance Excel – 13 Modules

Topic 4: SQL & Database Management- 2 Modules

Topic 5: Advance SQL – 7 Modules

Topic 6: Tableau – Deep Dive – 7 Modules

Topic 7: Power BI – Deep Dive – 6 Modules


Vishal Petkar

  • Ph.D. in Computer Science
  • MSc in Information Technology
  • SME in Software Development,
  • Technical Training in Data Science, Data Analytics & Full Stack Architecture
  • Technical Course Design, Development and Enrichment

Munmun bhagat

  • 8 Years of professional & Consulting experience 6 yeras of extensive experience in Training Have trained over 1500+ Professional across india Worked in various educational Institutes in various capacties as Assistant proffessor,TPO,Project coordinator ect.Have trained on google cloud.salesforce A through implementer with abilities in project management

Bheemesh Raghupathy

  • Certified Ethical Hacker
  • EC Council Certified Security Analyst trainer
  • Cyber Security Foundation Professional Certificate – CSFPC™
  • Oracle Certified Associate, Java SE 8 Programmer Oracle Certified
  • Professional, Java SE 8 Programmer Prolific experience in Data Analytics and Data Science  


  • Skilled in Data Science, Data Analytics & Big Data lecturing
  • Trained 2000+ professionals in Data Programs
  • Published 3 books, 33 papers in international Journals

Parth Sagar

  • 9 Years of professional & Consulting experience 8 yeras of extensive experience in Training Have trained over 1700+ professionals across globe Clpose to 9 years training experience and conducted multiple training in data science ,salesforces,AWS ,R,Python and Weka across the globle. -published several research papers in SCI.

Sagar R

  • Java, Hibernate & Spring Boot, Python, Django
  • Panda, JavaScript, SQL, Manual Testing, Automation Testing, Selenium
  • Test NG, Data Science, Data Analytics, Big Data, Python
  • Specialist. Specialist t in Data Architecture, Hadoop – Data Lakes


 Final Assessment Live online 180 minutes – Theoretical & practical of final assessment at any location with stable internet connection. The Pass mark will be based on the Group Grading, Geographic grading and Global Grading.

Receive Certificate Upon Successful completion of Courseware, completion of assignments, completion of capstone projects, completion of assessment, the candidate will receive the certificate with accreditation from KPMG & IOA – UK under the Cohort of Chools – Finance Academy endorsement.

Career Coaching Attending Value added programs on 5 Group – Career Coaching sessions spanning 5 hrs with information related to Job markets, Job availability, career progressions, Knowledge – Abilities– Skillsets related to Job interviews.

Interview Preparation Attending Value added programs on 3 sessions of Interview preparation spanning 90 minutes (30 minutes per session per Trainee* 3 times) covering interview MCQ’s, practicing interview questions – technical & Soft skills, Resume builder, listening 7 to 10 eLearning videos on Data analytics on how to clear the interviews and make it Job Ready.

Take your first step towards RESULT.


  • Number of Weekdays: 60 Days
  • Number of Hours: 120 Hrs


  • Assessments: One Final Exam
  • Case studies: Four
  • Capstone Projects: Two Live Projects
  • Class Assessments: 50


  • Mode of Delivery: Hybrid
  • Live Classes: Yes
  • Recorded Sessions: Available for 12 months


Understanding Data Concepts:

  • Summarize concepts of data quality.
  • Understand the impact of data quality on analytical work.
  • Learn data governance principles and metadata terminology.

Data Sources and Exploration:

  • Explore different sources of data, including insurer operational data.
  • Understand the value of statistical plan data and its use in predictive modeling.
  • Access external non-insurance data for analysis.

Data Science Fundamentals:

  • Grasp fundamental concepts of data science.
  • Recognize different types of data scientists.
  • Explain how insurers use predictive analytics and data science.

Visualization and Strategic Story telling:

  • Identify stakeholders in analytics projects.
  • Evaluate strengths and weaknesses of analysis and visualization tools.
  • Create compelling data stories.

Statistical Analysis Proficiency:

  • Demonstrate proficiency in statistical analysis of data.
  • Choose appropriate exploratory and inferential methods for analyzing data.

Data Management Skills:

  • Exhibit skill in data management.
  • Apply data science concepts to solve real-world problems effectively.

Data-Based Modeling:

  • Build and assess data-based models.
  • Construct complex statistical models and apply them in real-world contexts.