Introduction to Data Science Course

Placify's Data Science Internship Program to give a boost to your Carrer.

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Live conversations with industry professionals

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Certificates from reputable MNC's around the world

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25+ Hours of Practical Learning

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Project support and Guidance

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Access to Specialized Course Materials

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Certificate of completion

25+ hours of video content access

Major & Minor Live Projects

Top Tools Included

OVERVIEW OF THE PROGRAM

Data represents one of the most invaluable assets in today's world, with an incessant influx of billions of bytes every second. The capacity to extract valuable insights from this data is a pivotal factor in unlocking its potential for informed decision-making. Placify's Data Science Course will initiate you into fundamental concepts such as Python programming for Data Science, data acquisition, manipulation, and storage. This knowledge equips you to navigate the dynamic realm of data and uncertainty with confidence.

COURSE CURRICULUM

Get to realize in element about all the key principles and strategies used to layout and analyze from fundamental to advanced topics.

1. Introduction to Data Science

What is data science? Applications & key components of data sciences, Data science as carrier

2. Introduction to Machine learning

Machine learning life cycle, Applications of machine learning, Types of machine learning, Overview of anaconda & jupyter notebook, Installation of anaconda

3. Introduction to Python

Python fundamentals (operators, conditionals, loops, functions) Python data structure (lists, tuples, dictionary, set, arrays)

4. Python for Data science

File handling in python, NumPy, Pandas, Matplotlib, Seaborn

5. Data collection

Data collection from files (CSV/EXCELS) Data collection from database (MYSQL/ SQLITE) Data collection from API’s Data collection through web scraping (beautiful soup/selenium)

6. Data wrangling & visualization

Data cleaning & preprocessing using NumPy & pandas, Data visualization using Matplotlib, seaborn, tableau

7. Machine learning Algorithms for DS

Linear & logistic regression, Decision tree, Random Forest, Navie bayes & K nearest Neighbours, SVM & Clustering, K-Means & K-MEDOIDS

8. DEEP LEARNING

NLP, Neural networks, TensorFlow, Keras

9. MINOR & MAJOR PROJECT

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Pricing Plans

Unlock premium features at a budget-friendly rate. Gain hands-on industry experience, work on live projects, and receive mentorship from the top 1% of mentors, plus additional benefits. Select the plan that aligns with your requirements and elevate your practical, outcome-based learning to new heights. Enroll today and pave the way for leadership tomorrow.

Self Paced

₹4999

  • Internship Certificate by Co-Branded Company
  • 1 Minor + 1 Major project
  • Recorded Modules
  • 25+ hours of video content access
  • Outstanding Certificate on successful completion of extra projects
  • Training Certificate from Placify Technologies
Register Now

Mentor Led

₹9999

  • Internship Certificate by Co-Branded Company
  • 1 Minor + 1 Major project
  • 16+ hours of mentor training
  • 25+ hours of video content access
  • Outstanding Certificate on successful completion of extra projects
  • Training Certificate from Placify Technologies
Register Now

Certificates

Get certified with the aid of pioneers of Ed-tech industry via upskilling in current technological and entrepreneurial domains.

White and Blue Creative Certificate of Appreciation
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FAQs

Explore our FAQ section for quick answers to common questions. Can't find what you're looking for? Contact us for assistance.

No, this course does not have specific prerequisites. It is designed to cover the fundamentals, making it suitable for complete beginners as well.

Ensure you have a reliable and stable internet connection, along with a functional device such as a laptop or mobile phone. It’s also advisable to have a notepad and pen/pencil handy for taking notes during the classes.

For additional information about the course, please contact us through email at support@placifytechnologies.com or reach out to us via the phone number listed in the ‘Contact Us’ section.

After mastering data science, potential career paths include roles such as Data Scientist, Machine Learning Engineer, and Data Analyst, with opportunities in areas like predictive modeling, statistical analysis, and deriving insights from large datasets.