WikQik

PG Certificate Program in Data Science, Machine Learning & Neural Networks

12 months

Starts 12/06/2021

PG Certificate Program in Data Science, Machine Learning & Neural Networks

The upcoming decade is predicted to be the age of Machine learning & here’s a complete course to determine your career into Machine learning after your graduation. Learn the nuisances of neural network & find the way to your career guarantee.

Still wondering why to get enrolled?

Perks of Getting enrolled in the program:

  • Industry recognized certificate from IBM
  • Access to real-life 40 industry projects
  • 3 Months online Internship part of the core curriculum
  • Over 300 Hiring Partners
  • 400 + Jobs sourced till now
  • Grab a Salary package upto 51 Lacs
  • A 66% average salary hike

PG Certificate Program in Data Science, Machine Learning & Neural Networks

The upcoming decade is predicted to be the age of Machine learning & here’s a complete course to determine your career into Machine learning after your graduation. Learn the nuisances of neural network & find the way to your career guarantee.

Still wondering why to get enrolled?

Perks of Getting enrolled in the program:

  • Industry recognized certificate from IBM
  • Access to real-life 40 industry projects
  • 3 Months online Internship part of the core curriculum
  • Over 300 Hiring Partners
  • 400 + Jobs sourced till now
  • Grab a Salary package upto 51 Lacs
  • A 66% average salary hike

This course features a great number of learning opportunities with a fee option of Rs. 99,999/- . Around 2000 students are already enrolled, why not you? Get in touch today!

PG Certificate Program in Data Science, Machine Learning & Neural Networks

12 months

Starts 12/03/2021

Program Features

As per your convenience

Weekday or weekend; morning or evening. Multiple options for everyone.

Never miss a class

You can always switch to another batch, depending upon your availability.

Personal Learning Manager

A human, who is Ridiculously Committed to answer all your queries.

Lifetime Access

You'll have the keys to all our presentations, quizzes, installation guides. All for a lifetime!

Job outlooks

1.45 Million Career Opportunities

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Salary Trend

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150,000 Shortage

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Duration: 12 Months

No Cost EMI Available

40 Projects

Program fees

₹ 1.59,999

Easy EMI Available | Guaranteed Placements in Top FAANG Companies *

With a course fee of 1,59,999/- PG Certificate Program in Data Science, Machine Learning & Neural Networks  by WikQik is a must’ve for everyone. Hurry Up!

5/5

Not sure? Talk to our advisors

Master course certification

Upskill yourself with the world’s top-rated AI & ML program. Propel your career towards a better job and salary with the most sought after expertise in the current landscape: Artificial Intelligence Machine Learning and Neural Networks

 

PG Certificate Program in Data Science, Machine Learning & Neural Networks Course Curiculum

Module1
. Introduction to Data Science
. Data Science Era
. Data Science involvement in Industries
. Business Intelligence vs. Data Science
. Data Science Life Cycle
. Tools of Data Science
. Introduction to Python
. Introduction to Machine Learning
Module 2
. Introduction to Python Programming
. Introduction to Python
. Basic Operations in Python
. Variable Assignment
. Functions: in-built functions, user defined functions
. Condition: if, if-else, nested if-else, else-if
Module 3
. Data Structure – Introduction
. List: Different Data Types in a List, List in a List
. Operations on a list: Slicing, Splicing, Sub-setting
. Condition (true/false) on a List
. Applying functions on a List
. Dictionary: Index, Value
. Operation on a Dictionary: Slicing, Splicing, Sub-setting
. Condition (true/false) on a Dictionary
. Applying functions on a Dictionary
. Modules and Packages
. Regex operations

Module1
. Introduction to SQL (Structured Query Language)
. Basic SQL statement
. Advanced SQL (Searching, sorting, grouping)
. Accessing databases using python

Module1
. Data Types in an Array, Dimensions of an Array
. Operations on Array: Indexing, Slicing, Splicing, Sub-setting
. Conditional (T/F) on an Array
. Loops: For, While
. Shorthand for For
. Conditions in shorthand for For
. Control statements
. Shape Manipulation
. Linear Algebra
Module2
. Python Pandas – Home
. Python Pandas – Introduction
. Python Pandas – Environment Setup
. Introduction to Data Structures
. Python Pandas – Series
. Python Pandas – DataFrame
. Python Pandas – Panel
. Python Pandas – Basic Functionality
. Function Application
. Python Pandas – Reindexing
. Python Pandas – Iteration
. Python Pandas – Sorting
. Working with Text Data
. Options & Customization
. Indexing & Selecting Data
. Python Pandas – Missing Data
. Python Pandas – GroupBy
. Python Pandas – Merging/Joining
. Python Pandas – Concatenation
. Python Pandas – Date Functionality
. Python Pandas – Categorical Data
. Python Pandas – Visualization

Module1
. Intro to Statistics
. Statistical Inference
. Terminologies of Statistics
. Descriptive statistics
. Statistical functions
. Measures of Centers
. Mean
. Median
. Mode
. Measures of Spread
. Variance
. Standard Deviation
. Histogram
. Probability
. Normal Distribution
. Binary Distribution
. Poisson distribution
. Skewness
. Bell curve
. Hypothesis Building and Testing
. Chi-Square Test
. Correlation Matrix

Module1
. SciPy and its Characteristics
. SciPy sub-packages
. SciPy sub-packages – Integration
. SciPy sub-packages – Optimize
. Linear Algebra
. SciPy sub-packages – Statistics

  • Python Basics I
  • Python Basics II
  • Introduction to NumPy & Pandas
  • Data Preprocessing & Manipulation
  • Data Visualization
  • Doubt Clearing Session + End Course Test
  • Python for AI-ML (Self-Paced)
Get detailed course syllabus in your inbox  ... Download Brochure

Module1
. Data Analysis Pipeline
. What is Data Extraction
. Types of Data
. Raw and Processed Data
. Data Wrangling
. Exploratory Data Analysis

Module1
.Introduction to Machine Learning
.Machine Learning Use-Cases
.Machine Learning Process Flow
.Machine Learning Categories
Module2
.Data Preprocessing
.Data preparation
.Intro to Scikit Learn
Module3
.Regression
.Types
.Algorithms
.Linear Regression
.RMSE
.R2 score
.Logistic Regression
.Introduction to Dimensionality
.Why Dimensionality Reduction
.PCA
.Factor Analysis
.Scaling dimensional model
.Encoding
.Intro to Kaggle and UCI repository
Module4
.K-nearest neighbors
.Metrics
.Confusion Matrix
.Classification report
.Support Vector Machines
.Kernel
.Working of SVM
.Naive Bayes
.Hyperparameter Optimization
.Decision Tree Classifier
.Random Forest Classifier
.Ensemble Techniques and SVM tuning
.Underfitting & Overfitting
.Entropy
.AUC-ROC Curve
.Cross–validation
Module5
.Unsupervised learning
.Clustering Algorithms
.K-Means Clustering
.Hierarchical Clustering
Module6
.Recommendation Engine
.Time Series

Module1
. MatplotLib
. Bar Plot
. Histogram Plot
. Box Plot
. Area Plot

. Scatter Plot
. Pie Plot
. Seaborn

Like the Curriculum?

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Testimonial reviews

FAQ

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Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book

Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book

Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book

Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book

Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry’s standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book

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