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Data Science From Basic To Advance

Data Science From Basic To Advance

Here is a **short description for Data Science** ???????? --- Data Science is the field that focuses on collecting, analyzing, and interpreting large amounts of data to make informed decisions. It combines programming, statistics, and machine learning to extract meaningful insights from data. Data Science helps businesses predict trends, solve problems, and improve outcomes based on real information. It is widely used in industries like healthcare, finance, marketing, e-commerce, and more.

৳999

৳1999
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Has discount
Expiry period Lifetime
Made in Bangla
Last updated at Thu Jan 2026
Level
Beginner
Total lectures 76
Total quizzes 0
Total duration 394:14:00 Hours
Total enrolment 0
Number of reviews 0
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Short description Here is a **short description for Data Science** ???????? --- Data Science is the field that focuses on collecting, analyzing, and interpreting large amounts of data to make informed decisions. It combines programming, statistics, and machine learning to extract meaningful insights from data. Data Science helps businesses predict trends, solve problems, and improve outcomes based on real information. It is widely used in industries like healthcare, finance, marketing, e-commerce, and more.
Outcomes
  • The course provides the entire toolbox you need to become a data scientist
  • Impress interviewers by showing an understanding of the data science field
  • Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!)
  • Perform linear and logistic regressions in Python
  • Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn
  • Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlowDevelop a business intuition while coding and solving tasks with big data
  • Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross validation, testing, and how hyperparameters could improve performance
  • Fill up your resume with in demand data science skills: Statistical analysis, Python programming with NumPy, pandas, matplotlib, and Seaborn, Advanced statistical analysis, Tableau, Machine Learning with stats models and scikit-learn, Deep learning with TensorFlow
  • Learn how to pre-process data
  • Start coding in Python and learn how to use it for statistical analysis
  • Carry out cluster and factor analysis
  • Apply your skills to real-life business cases
  • Unfold the power of deep neural networks
Requirements
  • No prior experience is required. We will start from the very basics
  • You’ll need to install Anaconda. We will show you how to do that step by step
  • Microsoft Excel 2003, 2010, 2013, 2016, or 365