Certificate in Predictive Analytics Using Python
Unlock predictive insights with data master python based forecasting and modeling.
Beginner
Online
32 Hours
40,000 INR Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom | Video and Text Based |
Course Overview
The Certificate in Predictive Analytics Using Python course is being offered by Amity Online. This Certificate in Predictive Analytics Using Python course is designed to equip participants with practical skills in predictive modeling, time-series forecasting, regression analysis and machine learning methods using python. This Certificate in Predictive Analytics Using Python course is flexible with a duration of 32 hours. This course offers rich exposure to real world datasets, guided assignments and capstone projects. The participants will interact with tools such as Pandas, scikit-learn, statsmodels and time series forecasting libraries. This Certificate in Predictive Analytics Using Python course curriculum is paced to suit working professionals and students.
The Highlights
- 32 hours duration
- Beginner friendly course
- Internship
- Flexible learning
- Learn advanced tools
Programme Offerings
- 32 hour duration
- Internship
- Beginner level
- Real-World Projects
- Eight modules
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Amity Online |
The fees for the Certificate in Predictive Analytics Using Python course is :
| Fees components | Amount |
| Original fees | Rs. 40,000 |
| Discounted fees | Rs. 25,000 |
Eligibility Criteria
Having a basic knowledge of python can be useful for the participants while enrolling for this course.
What you will learn
In this Certificate in Predictive Analytics Using Python course, the participants will gain a solid understanding in predictive analytics techniques using pythons as the primary tool. The participants will start by mastering data preprocessing, feature engineering and exploratory data analysis before moving into regression modeling, tree based methods and ensemble techniques. The participants will learn about time series forecasting methods including ARIMA, SARIMA, and exponential smoothing, enabling participants to forecast trends, scales, demand or temporal phenomena.
Who it is for
The target audience for the Certificate in Predictive Analytics Using Python course includes:
Application Details
The admission procedure for Certificate in Predictive Analytics Using Python course are:
Step 1: The participants must visit the official course URL - https://amityonline.com/certifications/predictive-analytics-using-python
Step 2: Click on the “Enroll Now” option and fill the details asked.
Step 3: Once all the details are filled, then participants will receive an OTP.
Step 4: Once entered the OTP, they are expected to opt for payment of the certificate through any available online method. The candidate can click on the “Pay Now” option.
Step 5: One the fees is submitted, then the participants can start with thi Certificate in Predictive Analytics Using Python course.
The Syllabus
- Data pre processing
- Data Transformation, Data Reduction
- Data Wrangling and Manipulation for Machine Learning
- Feature Scaling
- Categorical Conversions
- Introduction to Machine Learning
- Simple Linear Regression
- Multiple Linear Regression
- Support Vector Regressor
- Decision Tree Regressor
- Ridge and Lasso Regression
- Hold-out method
- Cross Validation Method
- Boot Straping method
- Introduction to Classification Techniques
- Logistic Regression
- Ensemble techniques
- Decision trees
- Random Forest
- Naïve Bayes
- K-Nearest Neighbours
- SMOTE
- Support Vector Machine
- Confusion Matrix
- Accuracy
- F1-Score, Precision, Recall
- Introduction to Unsupervised Learning
- Heirarchial Clustering
- K-Means Clustering
- DBSCAN (Density Based Spatial Clustering of Applications with Noise)
- Principal Component Analysis (PCA)
- Singular Value Decomposition (SVD)
- T-distributed Stochastic Neighbor Embedding (t-SNE)
- Association Rule, FP Growth
- Case Study
- Apriori Algorith in Python
- Recommender Systems
- Weighted Score Recommender System
- User Based Similarity
Instructors
Amity Online Frequently Asked Questions (FAQ's)
The duration of this Certificate in Predictive Analytics Using Python course is 32 hours.
Yes, this Certificate in Predictive Analytics Using Python course is suitable for beginner.
Yes, this Certificate in Predictive Analytics Using Python course is entirely online through recorded lectures and live sessions.
KPMG is the collaborator for this Certificate in Predictive Analytics Using Python course.
Though this Certificate in Predictive Analytics Using Python course is for beginners but having a basic understanding of python is useful.