facebook Learn Data Science Online - ATH Leaps
nasscom accredited
 
Available
Applied Course

Fundamentals of Data Analytics

Get started with this applied course focusing on the building blocks of analytics and statistics. The multi dimensional course provides 12 hands on data cases across different domains and techniques. Beginner Level course which would take approx. 61 Hours to complete

Free
Enroll
nasscom accredited
 
Available
Applied Course

Machine Learning - Linear Regression

Linear Regression is one of the most widely leveraged techniques, for building future predictions and forecasts. The applied courses focuses on the different aspects of building and evaluating a robust linear regression model, on real world datasets. The course provides 6 hands on data cases with guided approach for building appropriate solutions. Advance Level, Approx. 23 Hours to complete

Free
Enroll
 
Available
Applied Course

Machine Learning - Logistic Regression

Logistic Regression is one of the most widely applied statistical techniques across businesses and verticals. The successful completion of the applied course, will equip the learner to build and evaluate a robust logistic model on a real world dataset to solve a business objective. Advance Level Approx. 20 Hours to complete (5 Hours per week)

₹ 7001,750
Access First Module
Buy Now
Upgrade to Pro
 
Available
Applied Course

Concepts and Application of Objective and Subjective Segmentation

The applied course focuses on the different concepts of segmentation via some of the most commonly used supervised and unsupervised algorithms. The data cases discussed within the course are based on real world business problems with a guided approach for building appropriate solutions. Advance Level Approx. 20 Hours to complete (5 Hours per week)"

₹ 7251,813
Access First Module
Buy Now
Upgrade to Pro
 
Available
Applied Course

Mining Text Data Cleansing, Treatment, Structural Representation & Visualization

This applied course focuses on the fundamentals of text data mining like cleansing, Treatment and Visualization of Text Data, which is a kind of must to know for text data analytics. With the help of Real-world datacases based on unstructured text data you get familiarized with the concepts through a guided approach.

₹ 7501,875
Access First Module
Buy Now
Upgrade to Pro
 
Available
Applied Course

Fundamentals of Time Series Analysis

This applied course, first one in the series, focuses on the building blocks for any time series analysis, exposing the learner on application of different visual and statistical techniques applied on real world datasets. Upon successfully completion of the course the leaner would have a thorough understanding of the different concepts and experience on their application on data. Beginner Level Approx. 15 Hours to complete (5 Hours per week)

₹ 8252,063
Access First Module
Buy Now
Upgrade to Pro
 
Available
Applied Course

Data Mining Concepts and Techniques

Building a deeper understanding about the data is a very crucial step of any Data Science project. Without understanding the data well you can never draw actionable and impact insights from the data or build Predictive Solutions.This course discusses the different techniques of data mining through which you can build a better understanding about the your data and use it effectively in problem solving.

₹ 1,0502,625
Access First Module
Buy Now
Upgrade to Pro
 
Available
Applied Course

Sentiment Analysis - Using Unstructured Text Data

Today as many people utilize social media and electronic channels to convey their opinions , it has become crucial for businesses to assess the sentiment behind the opinions and act accordingly. So in recent times Sentiment Analysis as a technique has gained a lot of popularity due to its wide ranging application across domains. In this course alongwith other basic text analytics concepts , you will also be introduced to Sentiment Analysis and how one can draw interpretations through analysis of the identified sentiments of a text corpus

₹ 5501,375
Access First Module
Buy Now
Upgrade to Pro
 
Available
Applied Course

Text Analytics - Classification and Clustering

NLP and Text Analytics are two of the new age domains sprouting from the advent of the different forms of data generated in the digital world. This applied course provides the learner a thorough understanding of Text Clustering and Classification techniques, with hands on application of those techniques on real world datasets. The structure of the course exposes the learner not only to identify underlying themes in a text dataset through clustering methods, though also enables the learner in building predictive text algorithms through classification techniques. Advance Level Approx. 25 Hours to complete (5 Hours per week)

₹ 8002,000
Access First Module
Buy Now
Upgrade to Pro
 
Available
Applied Course

Application Of Analytics For Customer Acquisition In Banking & Financial Services

First among the 3 applied courses focused on Application of Analytics in Banking and Financial Services talks about the vital importance of Data Analytics in the Customer Acquisitions Functions. Through its 6 Datacases it will introduce you to application of Analytics to some of the key problems in Acquisitions.

₹ 6251,563
Access First Module
Buy Now
Upgrade to Pro
 
Available
Applied Course

Application of Analytics for Customer Engagement in Banking and Financial Services

Second among the 3 applied courses focused on Application of Analytics in Banking and Financial Services talks about the vital importance of Data Analytics in the Customer Engagement Management Functions. Through its 5 Datacases it will introduce you to application of Analytics to some of the key problems in Customer Engagement function

₹ 6001,500
Access First Module
Buy Now
Upgrade to Pro
 
Available
Applied Course

Application of Analytics for Customer Retention in Banking & Financial Services

Third among the 3 applied courses focused on Application of Analytics in Banking and Financial Services talks about the vital importance of Data Analytics in the Customer Retention Management Functions. Through its 5 Datacases it will introduce you to application of Analytics to some of the key problems in Customer Retentionfunction

₹ 6001,500
Access First Module
Buy Now
Upgrade to Pro
 
Available
Applied Course

Basics of Hyperparameter Tuning - Linear & Logistic Regression

Hyperparameter tuning refers to the task of choosing the optimal combination of parameters that can only be learned before the training process begins. When the performance of the algorithm is not satisfactory, hyperparameter tuning is used to tweak certain parameters for a performance boost. In this course, we will focus on hyperparameter tuning for Linear and Logistic Regression through a hands-on approach and will deep-dive into the understanding of various hyperparameters associated with the algorithms.

₹ 6251,563
Access First Module
Buy Now
Upgrade to Pro
 
Available
60-Minutes School

Fundamentals of Data Preprocessing

Get started with this applied course focusing on the introduction to data preprocessing. This quick course provides opportunities of learning through reading material, Business case and a quiz to test your understanding. Beginner Level Approx. 1 Hour to complete

Free
Enroll
 
Available
60-Minutes School

Introduction to Explainable AI (XAI) using LIME

This course will help you understand the need of explainable AI (XAI) and introduce you to LIME, which is one of techniques for XAI. Learn how LIME can be applied on a real world datacase and how the results can be presented in a human interpretable format. Take the quiz to validate your understanding and then solve a datacase based on the learnings.

₹ 275688
Buy Now
Upgrade to Pro
 
Available
60-Minutes School

Basic Data Visualization Methods- I

This course helps you to understand different types of basics of summary and distribution charts which are majorly used to represent the data in a visible format to reveal the trends and patterns. Learn how and when to use different types of charts to present the actionable insights.

₹ 225563
Buy Now
Upgrade to Pro
 
Available
60-Minutes School

Introduction to ANOVA

Analysis of Variance (ANOVA) is a statistical method to test difference between two or more means. This applied course focuses on the concepts of ANOVA , its types and applications by using business cases. Basic Level

Free
Enroll
 
Available
60-Minutes School

Introduction to Explainable AI (XAI) using SHAP

This course will help you understand the need of explainable AI (XAI) and introduce you to SHAP, which is one of techniques for XAI. Learn how SHAP can be applied on a real world datacase and how the results can be presented in a human interpretable format. Take the quiz to validate your understanding and then solve a datacase based on the learnings.

₹ 275688
Buy Now
Upgrade to Pro
 
Available
60-Minutes School

Introduction to Gradient Boosting Classification

Gradient Boosting Classification is a machine learning technique, attracting attention for its prediction and accuracy. From Machine Learning competitions to data science businesses gradient boosting is providing best-in-class results. It uses an ensemble of weak prediction models for building a classification model. The model is built in a sequential process, where each new step tries to minimize the errors of the previous step. This course will provide you an in-depth understanding of the algorithm along with its practical use case.

₹ 225563
Buy Now
Upgrade to Pro
 
Available
60-Minutes School

Introduction to Extreme Gradient Boosting Classifier

Extreme Gradient Boosting is an optimized machine learning algorithm designed for better speed and performance. It is an extension of gradient boosted decision trees. Since its inception in 2014, the algorithm has achieved high performances on structured data and dominated other algorithms because of its flexibility. This course covers the end-to-end walkthrough of the algorithm.

₹ 225563
Buy Now
Upgrade to Pro
 
Available
60-Minutes School

Catboost Classifiers - An Introduction

CatBoost (short for Categorical Boosting) is a recently developed machine learning algorithm that helps data scientists and machine learning engineers in automating their column transformations and provides best-in-class accuracy. It can easily integrate with different deep learning frameworks and can work on diverse data types. It solves a variety of business problems that earlier required extensive data preparation.

₹ 250625
Buy Now
Upgrade to Pro
 
Available
60-Minutes School

Introduction to Gain and Lift Charts

This course will give you a brief introduction to the concept and applications of one of the most important and commonly used model validation techniqes: Gain and Lift Charts.

₹ 200500
Buy Now
Upgrade to Pro
python icon
 
Available
Coding Course

Data Structures in Python

At present, when it comes to domains such as machine learning, data science, web development and others, Python seems to be the most favored choice of programming language. But for these domains, efficient storage and accessibility of data plays an important role. This is where Python Data Structures comes in handy. Data Structures help us in organizing, managing and processing data in an effortless manner.

Free
Enroll
python icon
 
Available
Coding Course

NumPy for Data Science

NumPy (Numerical Python) is a library for scientific computation in Python programming language. It provides easy to use multi-dimensional arrays designed for performing high-level computations at a higher speed. Some other important libraries such as Pandas, matplotlib, scikit-learn are built on top of NumPy library making it an essential tool in the Data Science domain. This course is a deep-dive in understanding the structure and working of the NumPy arrays. Through this course, a solid foundation can be developed for NumPy library.

₹ 7001,750
Buy Now
Upgrade to Pro
python icon
 
Available
Coding Course

Data Science with Pandas

Pandas is a Python Library that is currently one of the most important tools for data analysis and manipulation. Its key data structure is DataFrame which enables you to represent your data in a tabular format. It provides several essential functionalities that makes working with data simpler. Whether you are an entry-level or an experienced professional in Data Science, Pandas may always be your solution to data analysis problems.

₹ 7001,750
Buy Now
Upgrade to Pro
python icon
 
Available
Coding Course

Fundamentals of Data Processing in Python

Get started with this applied course focusing on the introduction to data preprocessing. This quick course provides opportunities for learning through reading material, the Business case using Python, and a quiz to test your understanding.

₹ 5501,375
Buy Now
Upgrade to Pro
python icon
 
Available
Coding Course

Simple Linear Regression using Python

Linear Regression is one of the most widely leveraged techniques, for building future predictions and forecasts. The applied course focuses on writing a python code for building and evaluating a robust Simple linear regression model, on a real-world dataset. The course provides the hands-on case with a guided approach for building appropriate solutions.

Free
Enroll
python icon
 
Available
Coding Course

Week 6 - Coding Assessment

Get started with this applied coding assessment focusing on the fundamentals of data analytics, Introduction to data pre-processing and application of linear regression. This is a Python focused coding assessment, where you will be required to complete each section for evaluation.

₹ 1,0001,500
Buy Now
Upgrade to Pro
 
Available
Case Study

Cleaning & treating - HR attrition case study

Understanding and cleaning the data set before starting with the analysis is an important step while solving any problem. Through this case study, learn how to apply the data cleaning & data treatment techniques on a real business problem

Free
Enroll
 
Available
Case Study

Applying Linear Regression to predict used car prices

Selecting the right features and building a model is an iterative process and part of any model building activity. As part of this case study, we will learn how to scale the features, perform residual analysis, avoid multicollinearity, and pick only the significant features to build a linear regression model.

Free
Enroll
 
Available
Case Study

Predicting Customer Churn - Artificial Neural Network

Understanding the attrition habits of their customers is quite essential to devise new strategies for improving customer retention. Through this case study learn how to apply Artificial Neural Networks in classification problems.

Free
Enroll
 
Available
Case Study

Data preprocessing on used cars data

The first step in the machine learning life cycle is to understand & process the data so that it can be passed on to a machine learning algorithm. In this case study we will learn how understand the data, visualize the data, clean the data and create few derived variables.

₹ 150350
Buy Now
Upgrade to Pro
 
Available
Case Study

Analysing Student Marks - Hypothesis Testing

This case study deals with the comparison of marks of students in a particular school using the statistical concept of hypothesis testing.

₹ 150350
Buy Now
Upgrade to Pro
 
Available
Case Study

Predicting Credit Card Spend - Artificial Neural Network

Understanding the expenditure habits of their customers is quite essential to devise new strategies for improving spend growth. Through this case study learn how to apply Artificial Neural Networks in regression problems.

₹ 150350
Buy Now
Upgrade to Pro
 
Available
Applied Course

Hyperparameter Tuning in SVM

Proper Hyperparameter tuning is essential for the successful implementation of Support Vector Machines for both classification and regression tasks. SVM offers some predominant hyperparameters that should be fixed before the training process and have an immense effect on the performance of their predictive models. That being said, hyperparameter tuning for SVM is a trivial task. In this course, we will study the concepts of Hyperparameter tuning for SVM in detail along with extensive hands-on practice.

₹ 5501,375
Access First Module
Buy Now
Upgrade to Pro
 
Available
Applied Course

Hyperparameter Tuning in Tree-Based Models

Tree-Based Models are considered as key algorithms in supervised machine learning. They are simple to train and easy to visualize. They provide high flexibility in training as there are many hyperparameters to tune. In this course, our focus will be to enhance the performance of tree-based models by the use of hyperparameter tuning. We will deep dive into the understanding of the hyperparameters and methodologies for hyperparameter tuning.

₹ 6251,563
Access First Module
Buy Now
Upgrade to Pro
 
Available
60-Minutes School

Model Evaluation Techniques - Classification Models

One of the most essential phases of the classification machine learning algorithms is to understand the ways to evaluate the performance of the model built. This is one of the tasks that are often difficult to interpret and sometimes not paid attention to. In this course, we will see each of the performance measures that will help you to quantify the performance of the model and decide which algorithm will be most suited according to the problem at hand.

₹ 200500
Buy Now
Upgrade to Pro
 
Available
60-Minutes School

Model Evaluation Techniques - Regression Models

Machine Learning algorithms have been proven extremely beneficial for regression tasks. However, there is one question that is often asked. Which algorithm is suited for the particular problem or Do you think the model built is performing well? In this course, we will learn different performance measures that will help you to answer this question. We will see each performance measure used to evaluate a regression model in detail which will help us to select the top-performing model for a particular problem.

₹ 200500
Buy Now
Upgrade to Pro
 
Available
Applied Course

Introduction to Neural Networks

Neural Networks are a series of algorithms composed of artificial neurons, that are capable of recognizing the underlying principle from the set of data in a way similar to the human brain. In the past decade, neural networks have laid the foundation for a new domain called Deep Learning that has been used to develop some of the most intelligent machines capable of performing complex tasks such as object recognition, speech translation and recognition, robotics, and many more. This course is designed to give a complete understanding of the most fundamental aspects of neural networks.

₹ 6751,688
Access First Module
Buy Now
Upgrade to Pro
 
Available
Applied Course

Introduction to Optimization Techniques

First among the 3 applied courses focused on Application of Optimization in Analytics talks about the vital importance of General Optimization Problems in the Business Functions. Through its 3 Datacases it will introduce you to application of three different optimization algorithms to some of the key problems in finding optimal parameters for business settings

₹ 5251,313
Access First Module
Buy Now
Upgrade to Pro
 
Available
Applied Course

Optimization Techniques - Network Flow Problems

Second among the 3 applied courses focused on Application of Analytics by Optimization talks about the vital importance of Shortest Path Problem and Minimum Spanning Tree in the Network Flow Optimization Problems. Through its 2 Datacases it will introduce you to application of Analytics to some of the key problems in Network FLow Optimization

₹ 4501,125
Access First Module
Buy Now
Upgrade to Pro
 
Available
Applied Course

Optimization Techniques - Specialized Optimization Problems

Third among the 3 applied courses focused on Application of Analytics by Optimization talks about the vital importance of several specialized optimization problems such as transportation problem, knapsack problem and travelling salesman problem. Through its 5 datacases it will introduce you to application of analytics to some of the key optimization problems.

₹ 4501,125
Access First Module
Buy Now
Upgrade to Pro
 
Available
Applied Course

Understanding Decision Trees

Decision Trees are classic non-parametric supervised learning algorithms used for both classification and regression tasks. The decision tree splits the dataset multiple times based on a series of decisions efficiently representing the data and making predictions. They are one of the most widely used algorithms for data mining as it is easy to interpret the decisions made by the algorithm and this reason has made it one of the favourite algorithms of Data Science professionals as well.

₹ 5251,313
Access First Module
Buy Now
Upgrade to Pro
 
Available
Applied Course

Getting Started with Naive Bayes Classifiers

Naive Bayes Classifiers are a family of probabilistic algorithms that are based on the Bayes Theorem with an assumption of conditional independence between the features of the dataset. Their robustness and fast execution are widely known. Despite its simplicity, they have wide-ranging applications such as Text classification, Spam Detection, medical diagnosis, and robot sensing to name a few.

₹ 5251,313
Access First Module
Buy Now
Upgrade to Pro
 
Available
Applied Course

Understanding Principal Component Analysis (PCA)

Training a dataset with a large number of features can be sufficiently slower with the classical machine learning or deep learning algorithms. Principal Component Analysis or PCA is an unsupervised machine learning algorithm that is able to summarize information of large datasets into a smaller set that makes it easy to train and visualize data. This course provides an in-depth understanding of the hands-on application of PCA.

₹ 4501,125
Access First Module
Buy Now
Upgrade to Pro
 
Available
60-Minutes School

Introduction to Natural Language Processing (NLP)

When we picture Artificial Intelligence, we often picture ourselves talking to a machine. In fact, we interact with personal assistants (Siri, Cortana, Alexa) on a daily basis and give them instructions to perform tasks. This functionality has been enabled through the domain of NLP. NLP is concerned with the interactions between computer and human languages. Machine Learning algorithms are applied to text and speech data in NLP.

₹ 275
Buy Now
Upgrade to Pro
 
Available
60-Minutes School

Data Transformation

Raw or source data is often inconsistent, vague, and duplicative in nature. Therefore, Data transformation is the process that helps convert this raw structure to another structure that can help you summarize and discover knowledge. The Data Transformation process is essential to any business, especially when there is a need to maintain data quality to deliver recommended Business Intelligence and a requirement to change the structure to a more readable format, enabling effective data analysis.

₹ 250625
Buy Now
Upgrade to Pro
 
Available
60-Minutes School

Data Aggregation

Data grows exponentially every day and it is becoming an essential factor for driving businesses. Huge amounts of data are being generated and from different sources. Hence, it is essential to perform data aggregation to identify patterns and trends in the data which otherwise would not have been recognized in the data from a single source. This course will enable you to understand different data aggregation methods that are being used on a regular basis in any data-based decision-making.

₹ 250625
Buy Now
Upgrade to Pro
 
Available
Applied Course

Week 1 - Fundamentals of Data Analytics

Get started with this applied course focusing on the building blocks of analytics and statistics.

₹ 1,0001,500
Buy Now
Upgrade to Pro
 
Available
Applied Course

Week 2 - Data Pre-Processing & Data Treatment

Get started with this applied course focusing on the introduction to data preprocessing. This quick course provides opportunities of learning through reading material and solving a business datacase.

₹ 1,0001,500
Buy Now
Upgrade to Pro
 
Available
Applied Course

Week 3 - Machine Learning using Linear Regression

Linear Regression is one of the most widely leveraged techniques, for building future predictions and forecasts.

₹ 1,0001,500
Buy Now
Upgrade to Pro
 
Available
Applied Course

Week 4 - Contextual Assessment

₹ 1,0001,500
Buy Now
Upgrade to Pro
 
Available
Applied Course

Week 5 - Application Assessment

₹ 1,0001,500
Buy Now
Upgrade to Pro
python icon
 
Available
Coding Course

Feature Engineering in Python

Feature Engineering is a way of extracting features from data and transforming them into formats that are suitable for Machine Learning algorithms. The performance of a ML algorithm can be improved considerably with correct feature engineering. In this course we will understand some of the common feature engineering techniques and learn to implement them in Python.

₹ 6501,625
Buy Now
Upgrade to Pro
Chat Icon