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Data Science & Data Analytics

Unlock the power of data with our comprehensive course designed for beginners and professionals. Learn data handling, analysis, visualization, machine learning, and business intelligence tools to drive data-driven decision-making across industries.

Created by

Mercury Mentors

Hours

0 Enrolled

    • (0 Reviews)

English

Last updated

Thu, 24-Jul-2025

Course description

Course Description:
The Data Science & Data Analytics program is a career-focused course designed to equip students and working professionals with the skills required to extract insights from complex data sets and drive strategic business decisions. This hands-on course covers core concepts in data processing, statistical analysis, machine learning, data visualization, and the use of industry-standard tools like Python, SQL, Tableau, Power BI, and more.

Whether you're looking to enter the field or advance your current role, this course prepares you for real-world challenges with case studies, capstone projects, and placement support.


Key Responsibilities After Course Completion:

  • Collect, clean, and preprocess large datasets for analysis

  • Use statistical methods to identify trends and patterns

  • Build predictive models using machine learning algorithms

  • Visualize data using tools like Tableau, Power BI, or Matplotlib

  • Communicate insights clearly to stakeholders through reports and dashboards

  • Work with databases and cloud platforms for data storage and retrieval

  • Apply analytics to business domains like marketing, finance, healthcare, or operations.

    Eligibility Criteria:

    • Graduates from any stream (Science, Commerce, Engineering, or Arts)

    • Working professionals looking to switch to Data/IT domains

    • Basic understanding of mathematics and logical thinking

    • No prior coding experience required (training starts from basics).


What will i learn?

  • Gain hands-on proficiency in Python, SQL, Excel, Tableau, and Power BI
  • Understand data pipelines, analysis, and storytelling through visualizations
  • Build end-to-end machine learning models and deploy them
  • Prepare for job roles such as Data Analyst, Data Scientist, BI Analyst, ML Engineer
  • Receive placement assistance and resume/interview preparation support

Requirements

  • A laptop or desktop with internet connectivity
  • Willingness to learn programming and analytical tools
  • Commitment to practical exercises, live projects, and assignments
  • Enthusiasm for data, problem-solving, and technology

Mercury Mentors

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₹20000

      

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Lectures

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Skill level

Beginner

Expiry period

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