Advance Certification Program in Data Science 2023
Carrier Based Complete Data Science Training: Algorithms, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning
Pre-Process & Understanding Data
- ✓ The course provides the entire Knowledge you need to become a data scientist
- ✓ Fill up your resume with in demand data science tools & 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 Understand the mathematics behind Machine Learning
- ✓ Start coding in Python and learn how to use it for statistical analysis
Pro Coder
- ✓ Perform OOPS Concepts in Python
- ✓ Carry out cluster and factor analysis
- ✓ Be able to understand Machine Learning algorithms in Python, using NumPy, stats models and scikit-learn
- ✓ Apply your skills to real-life cases & examples
Data Science Execution
- ✓ Use state-of-the-art Deep Learning frameworks such as Google’s TensorFlow & Keras
- ✓ Develop a Model while coding and solving tasks with Algorithms
- ✓ Unfold the power of deep neural networks
- ✓ Improve Machine Learning algorithms by studying underfitting, overfitting, training, validation, n-fold cross-validation, testing, and how hyperparameters could improve performance
- ✓ Warm up your fingers as you will be eager to apply everything you have learned here to more and more real-life situations
Who must take this course
- ✓ Want to Master skill on the field of Data Science
- ✓ Need to build more projects on Data Science
- ✓ Need to build better portfolio to get job in Top MNC
- ✓ Need to master the skill on In-demand field which has opportunity in the future
- ✓ Want to Master skill on the field of Data Science
- ✓ Need to build more projects on AI
- ✓ Need to build better portfolio to get job in Top MNC
- ✓ Need to master the skill on In-demand field which has opportunity in the future
- ✓ To get great insights from the data which you working in
- ✓ Want to make career change to the filed of Data Science for High paying Job
- ✓ To solve their problem related to data using Data Science
- ✓ Building solutions to real world problems
- ✓ Average Data Science engineer salary is ₹ 9.0 LPA – Best career in the Future
- ✓ Easy to learn, No prior knowledge required
- ✓ More Hands-on project needed to be done to crack interviews
Course Syllabus
- > Essential Python concepts for data science, including data types, variables, loops, and functions
- > How to work with data using Python’s powerful data manipulation libraries, such as NumPy and Pandas
- > How to visualize data using Python libraries such as Matplotlib and Seaborn
- > How to visualize data using tools such as Tableau and Power bi
- > Machine learning with Python: Supervised, Unsupervised & Reinforcement Learning
- > Techniques and best practices for effective data analysis and data storytelling
Curriculum
- Python Basics
- Python Data Structures
- Python Fundamentals
- Advance Python (oops)
Pandas for Data Science
NumPy for Data Science
Matplotlib
Seaborn
Scikit-Learn
NLTK
Keras
Tableau – Data visualization
Tableau – Data Sources, Worksheet
Introduction power BI
Visualize Data in the Form of Various Charts, Plots, and Maps BI tools – Power BI
Google Colab Notebook
Python – Date and Time, Data Wrangling
Python – Data Aggregation
Python – Word Tokenization, Stemming, and Lemmatization
Python – Data Visualization
Python – Statistical Analysis
Python – Types Of Distribution
Python – Correlation, Chi-Square Test, Linear Regression
Supervised Learning – Classification and Regression
Liver disease Prediction – (Logistic Regression)
Crime Analysis – (KNN Algorithm)
Classifying muffins and cupcakes – (SVM Algorithm)
Fake news detection – (Naïve Baye’s)
Android malware – (Decision tree)
Credit card Fraud detection – (Random Forest)
Evaluating the classification model – (Confusion matrix) Calculating the accuracy score.
Classification model selection For Breast Cancer – (Classification)
Employee Salary Prediction – (Linear Regression Single Variable)
Advertisement and Sales Prediction – (Multiple Linear Regression)
Generating Data points based on some equation – (Polynomial Regression)
Ice – Cream shop revenue prediction from temperature – (Decision Tree Regression)
Agriculture Price Prediction – (Random Forest Algorithm)
Evaluating the performance of my regression model – ( Root mean square error and R2 score)
Regression Model selection for sales forecasting.
Unsupervised Learning – Clustering
Crime Pattern Analysis – (K-Means Clustering)
Customer Spending Analysis – (Hierarchical Clustering)
Flower Species – Data Visualization
Image Compression Using – SVD (Singular Value Decomposition)
Unsupervised Learning – Association
Market Basket Analysis – (APRIARI)
Market Basket Optimization / Analysis – (ECLAT)
Reinforcement Learning
Web Ads click-through rate optimization – (Upper Bound Confidence)
Natural Language Processing
Hate Speech Detection – (NLTK)
Loan Prediction Problem – (XGBoost)
Deep Learning
Movie Review Classification – (RNN)
Digits Classification – (CNN)
AI – Cart Pole (Reinforcement Learning)
Our Learners Works At
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Who can register for the Internship?
Online Internships at PANTECH courses are open to everyone. Those with zeal to learn something new and upgrade themselves can ultimately opt in for the Internship Program @ PANTECH
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What are the Pre -requisites for the Internship Program?
All you need is access to a computer with a current browser and an Internet connection Plus a open mind for Learning
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What will be the duration of the course?
The Internship duration will be 5 / 10 / 15 days and 1 Month Internship
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Is this a Certified Internship?
Yes. This is a certified internship. Certificates are provided by IETE / Pantech depending upon the course curriculum and domain.
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How are certificates issued?
Participants will be issued, once the internship duration is over.
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How are certificates issued?
Participants will be issued, once the internship duration is over.
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Are the internships free?
No. There is a nominal fee charged towards the training and the mini projects assigned.
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Is there a last date for signing up?
Yes, you need to sign up before a last date for every offering of the Internship. The last date will be displayed prominently in the website.
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Can I take a Two Internships at once?
Yes, you can sign up for two or more Internships at once.
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Can I access the Internship content after the session ends?
Session Video records are provided to all participants via Mail and a shared folder. It will be made available online even after your internship is complete.