Data Science essentials course:
Uncover Insights. Predict Outcomes.
Make Data-Driven Decisions
In recent years, companies are actively seeking professionals with strong proficiency in the core techniques such as:
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data exploration
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data visualization
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descriptive & predictive analytics
These skills help to interpret complex data to solve strategic problems. As because organisations increasingly rely on data-driven decision making, data science has emerged as one of the most sought-after career.
Ideal for science and technical graduates, aspiring data analysts or researchers. This course sets you on the path to become a skilled data professional.
Syllabus-
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Python for Data Analysis
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AskCodi - AI coding assistant
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Scikit for ML basics
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MySQL database (DBMS)
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Data Analytics using Power BI
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R-programming
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Add on modules:
SAS/Adv Excel/Hadoop/Tableau (fee extra)
We actively provide placement assistance for students.
Duration: Around 6 months
Eligibility: Any graduate (Science, Btech, MCA preferred)
Our training goes beyond technical skills to focus on project experience, and hands-on problem solving.
We conduct interview Q&A sessions, mock interviews, technical webinars by industry HR to boost confidence and clarity.
Continuous feedback from experienced mentors helps them identify gaps and improve steadily.
Roles & Responsibility of Data Scientist
Why Choose Aptech Nayapalli for Data Science Training?
01
Learn from industry experts, All faculty have min. 4 years of experience in teaching and project works. All the mentors are certified by Aptech H.O. Mumbai.
03
Nationally recognised institute:
Received Rising star award for quality training.
02
Small batch:
Student : Faculty
(ratio) <= 10
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Career Support -
Get interview calls and guidance.
Aptech Learning students are placed as:
🟢Data Analytics Professional
🟢Machine Learning Engineer
🟢Python Django Developer
🟢Statistician
🟢Data Analytics Engineer
🟢Machine Learning Engineer
🟢E-Commerce Professional
🟢Android App Developer
🟢Web Developer, Programmer
🟢Big Data Professional
🟢MIS Professional
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.
Career Path Stages
1. Entry-Level (0-2 years):
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Roles: Junior Data Analyst, Data Science Intern, Associate Data Scientist.
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Focus: Learn tools, work on small projects, and build a portfolio
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Tasks: Data cleaning, basic modelling, and visualization.
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Salary (2025 estimate): 2-6 LPA (varies by location).
2. Mid-Level (2-5 years):
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Roles: Data Scientist, Data Analyst, Junior ML Engineer.
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Focus: Develop expertise in machine learning, work on larger projects, and collaborate cross-functionally.
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Tasks: Build predictive models, optimize algorithms, and present insights to stakeholders.
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Salary (2025 estimate): 5-15 LPA.
3. Senior-Level (5-10 years):
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Roles: Senior Data Scientist, Machine Learning Engineer, Data Science Manager.
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Focus: Lead projects, mentor juniors, and design data strategies.
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Tasks: Advanced modelling, productionizing ML systems, and cross-department collaboration.
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Salary (2025 estimate): 15-35 LPA.
Contact us for a personalised counselling by our expert counsellor.
Data Science is central to innovation and business transformation! - Satya Nadella
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