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Data Science essentials course:

Uncover Insights. Predict Outcomes.

Make Data-Driven Decisions

 

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This course aims to build a strong foundation in data science using the R-programming language. You will learn to master the core techniques of data exploration, data visualization, descriptive analytics, and predictive analytics - all essential to unlocking the power of data in any business environment.​​

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Ideal for aspiring data analysts, researchers, science and technical graduates, this course sets you on the path to becoming a skilled data professional.

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 Syllabus-

• Python for Data Analysis
• MySQL database (DBMS)
• Data Analytics using Power BI
• R-programming
• Add on modules:

SAS/Adv Excel/Hadoop/Mongo DB/Tableau (fee extra)

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We actively provide placement assistance for students.


Duration: Around 6 months
Eligibility: Any graduate (Science, Btech, MCA preferred)

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Job opportunities:

On successfully completing the course, you will be ready to join top national & international IT companies in the job roles such as:

  • Data Analyst

  • Data Scientist

  • Data Visualizer

  • Business Analyst

  • Quantitative Analyst

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(Roles & Responsibility of Data Scientist)

 Aptech Learning students are placed as:​​​

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                  🟢Data Analytics Professional                                 ðŸŸ¢ Machine Learning Engineer

                  🟢Python Web Application Developer                    🟢Statistician

                  🟢Data Analytics Engineer                                       ðŸŸ¢Machine Learning Engineer

                  🟢E-Commerce Professional                                    🟢Android App Developer

                  🟢Web Developer, Programmer                              🟢Big Data Professional

                  🟢MIS Professional In The IT Sector..​​

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List of few companies where our students are working:​

·        Andolasoft, Maastrix solutions, Metaplexis, Seap infotech, Persistent networks, Innovadors lab, In10s technology, IBM, Infinite Computers, Wipro, Dashmesh Group, Milk Mantra, Navedas, Envistream Smartech Pvt. Ltd., Capgemini, Simpleekare and many more.

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Career Path Stages

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    1.   Entry-Level (0-2 years):

  • Roles: Junior Data Analyst, Data Science Intern, Associate Data Scientist.

  • Focus: Learn tools, work on small projects, and build a portfolio

  • Tasks: Data cleaning, basic modelling, and visualization.

  • Salary (2025 estimate): 2-6 LPA (varies by location).

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    2.   Mid-Level (2-5 years):

  • Roles: Data Scientist, Data Analyst, Junior ML Engineer.

  • Focus: Develop expertise in machine learning, work on larger projects, and collaborate cross-functionally.

  • Tasks: Build predictive models, optimize algorithms, and present insights to stakeholders.

  • Salary (2025 estimate): 5-15 LPA.

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    3.   Senior-Level (5-10 years):

  • Roles: Senior Data Scientist, Machine Learning Engineer, Data Science Manager.

  • Focus: Lead projects, mentor juniors, and design data strategies.

  • Tasks: Advanced modelling, productionizing ML systems, and cross-department collaboration.

  • Salary (2025 estimate): 15-35 LPA.

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Contact us for a personalised counselling by our expert counsellor.​​

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​Data Science is central to innovation and business transformation! - Satya Nadella

Watch demo classes & Get a feel of our training

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Watch student testimonial videos, explore technical articles, and receive updates.

Subscribe to our YouTube Channel: Aptech Nayapalli YouTube​​

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