logo

Data Science with Python Career Track

Interested in making a career in the field of Data Science? Sign up to our 5-month Instructor-led Data Science with Python career track

Data Science with Python Career Track

Overview

+

Gain the career-transforming skills needed to transition into the field of data science. In this track you'll learn essential mathematics, python programming for data science, data science lifecycle, statistical techniques, state of the art machine learning algorithms for supervised and unsupervised learning, artificial intelligence techniques such as deep learning etc., real-world applications of these techniques via challenging case studies to solve business problems. This track is focused on building depth in core data science and will prepare an aspirant for taking up challenging data science roles.

What you will learn

Data Science with Python Career Track has 12 modules out of which Modules 1 and 12 will span throughout the duration of the course. Module 0 is just an introductory/orientation session and doesn’t contribute to the overall content of the course.

Skills Gained?

Python Programming

Expertise in Data Visualization, Exploratory Data Analysis etc using NumPy, Pandas, Sklearn etc.

In depth Understanding on core Data Science concepts such as: Statistical Concepts Supervised and Unsupervised Learning Neural Networks Introduction to Advanced Deep Learning

Hands on experience via Projects and Assignments

This specialization have 13 courses content

Description: This is an introductory module which is focused towards providing a brief overview on Data Science, Technology trends, Industry Trends, Glossary, Data Science Lifecycle etc.

Skills gained

+
    • What are Analytics and Data Science? 

Module 2

Description: Provide a brief introduction to essential math before each module. This module would span throughout the course and would be discussed on need basis and intuitive explanations would be provided. For example: While discussing linear regression basic understanding on co-ordinate geometry and linear algebra is required. So, this math topic would be first discussed, and the actual module would be discussed. This is to put aspirants with no prior experience at ease

Skills gained

+
    • Basics of Co-ordinate Geometry

Description: This module focusses on learning python from scratch. Explore the versatility of python and learn all the necessary programming constructs of python. The second part of this module specifically concentrates on the data science libraries and packages available in python. The last concept will be dealt with in.

Skills gained

+
    • Introduction to Python

Description: Learn business statistics to better interpret and describe your data. This module spans from simple descriptive statistics to advanced inferential statistics. Statistics forms the foundation for any data science learning track and gathering this knowledge in an application-oriented manner would greatly help.

Skills gained

+
    • Descriptive Statistics – Measures of Centrality and Spread

Description: Data cleansing, wrangling and exploration are critical skills to building an efficient data science solution. Learn techniques to cleanse, preprocess and explore data using Pythons visualization libraries such as Matplotlib and Seaborn

Skills gained

+
    • Types of Datatypes in Data Science

Description: This is the first of two modules on Supervised learning. Get introduced to statistical regression techniques such as Linear, Logistic regression and advanced approaches to improve models

Skills gained

+
    • Linear Regression

Description: This is the second of a series of 2 modules on Supervised learning. This module introduces advanced ML algorithms such as tree-based models, ensemble learning and support vector machines.

Skills gained

+
    • Decision Trees

Description: Unsupervised learning unlike its counterpart, is a type of machine learning that looks for previously undetected patterns in a data set with no pre-existing labels. A deep dive into state-of-the-art unsupervised learning techniques such as clustering, recommender systems etc.

Skills gained

+
    • Clustering

      • K Means Clustering

      • Hierarchical Clustering

      • DBSCAN

Description: Get introduced to a popular technique of predicting outcomes as a function of time. The module starts with simple forecasting techniques and progresses into complex techniques such as Auto regression etc.

Skills gained

+
    • Time Series Forecasting: Solving Forecasting Problems

Description: While until this point in the course we have been majorly working with structured data, this module focuses on extracting meaningful insight from unstructured data such as text.

Skills gained

+
    • Text Preprocessing – Stemming, Lemmatization, Word Clouds etc.

Description: Neural networks are a set of algorithms, modeled loosely after the human brain, that are designed to recognize patterns. Learn the philosophy behind Neural Networks and how they extract complex patterns. Introduce yourself to how these can be applied for various types of data, structured and unstructured.

Skills gained

+
    • Artificial Neural Networks

Description: While all the above techniques are great and yield amazing results, implementing these algorithms in real-world could be very challenging due to various constraints such as volume of data, operationalization etc. This module focuses on providing resolutions to these challenges

Skills gained

+
    • Discussion on typical challenges faced while operationalizing data science solutions.

Description: This is a connector module that encompasses concepts that are required to bridge various modules. This module is responsible for ensuring that the aspirant has the necessary information before moving into another module. This module spans across the course just like the ‘Math Basics’ module

Skills gained

+
    • Data Science Lifecycle in detail


Frequently asked questions

Hire from us/contact us

If you have question or would like more information on our works, Please complete the form and we'll aim get back to you in 24 hours.

Why Us

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. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchanged. It was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.