Microdegree program

Data Science with Python

Give your career a boost with our Fast-Track MicroDegree program. Explore the plethora of data, build models and deploy the solution to the cloud. Get the opportunity to work on Live Project and Live Interaction with Industry expert to understand the market trends.

Data Science with Python Course Overview

This course will help you to advance your career in the field of data science. We will bring you to the expert level from the beginner level by our comprehensive theory sessions followed by professional practical assignments. The course will help you to learn Python fundamentals and programming techniques. At the completion of the course you will have hands experience with data structures, data frames, modelling techniques and learning system.

Data Science with Python Key Features

Training from Industry experts

Exposure to work on Live Projects

Exposure to work on Live Projects

Technology Certification and Recommendation Letter

Mock-Interview and Surprise Assessment Tests

Learning Mode

Online & Classroom

Duration

180 Hours

Tools

Python

Big Data

SQL

Tableau

Data Science with Python Syllabus

  • Introduction to Python
  • Data Types in Python
  • Data Structures in Python
  • Pandas Module
  • Working with Dataframes
  • Working with Text, Dates and Time
  • Merging, Joining, Concatenating and Group by
  • Visualization in Python
  • Descriptive Statistics
  • Inferential Statistics and Statistical Modelling
  • Supervised Learning
  • Unsupervised Learning
  • Recommender System
  • Working with Databases
  • DeepLearning ANN,CNN
  • Deployment using Flask

  • Big Data and Hadoop Introduction
  • Apache Ambari
  • Understand Hadoop Cluster Architecture
  • Map Reduce Concepts
  • Advanced Map Reduce Concepts
  • Hadoop 2.0 and YARN
  • Introduction to PIG
  • HIVE
  • HBASE
  • SQOOP
  • Flume and Oozie
  • Apache Spark
  • Spark Core Architecture
  • Spark Streaming
  • Oozie
  • Apache storm
  • Flume
  • Kafka
  • Zookeeper
  • Cassandra
  • Yarn
  • mesos

  • Introduction to SQL
  • Datatypes and Commands
  • Operators/Alias Name
  • Views
  • Stored Procedure
  • Trigger/Cursor
  • Functions
  • Pivot/Unpivot
  • Database Backup
  • Database Restore
  • Generate Script
  • Select * into

  • Introduction to Tableau
  • Connect (Data Source Page)
  • How to work with Noisy Data
  • Tableau Workspace
  • Prepare Data
  • Design Views and Visualize Data
  • Filters and Axis Formatting
  • Calculated Fields
  • Advance Visualizations
  • Design Dashboards
  • Publish Dashboards
  • Create Story

Tools Covered

Our Instructors

Certification

certificate
Shareable on LinkedIn

You can share your Course Certificates in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.

Academy Of Data Science Student Review

Frequently Asked Questions

MicroDegree Programe is exclusively design for Students,Professionals and Teachers which includes data science from scratch to the deployment (production) with one to one client intrections and live projects where you will be able to design complete workflow of data science.You will have hands on expertise on tools like python,tableau/Power BI ,database administration with SQL and big data.

Students, Professionals, teachers, and anyone can apply for this course. In order to be a Data Scientist you just need the right skills and the willingness to do so. There are people from diverse backgrounds like chemical engineering, physics, economics, statistics, mathematics, operations research, computer science, etc who work as Data Scientists

The data types in python chapter will cover an overview of the various data types that are supported in Python interface. This chapter will cover the basic as well as advanced data types such as integer, float etc.

No, it is not necessary. Even commerce or arts graduate students can apply for this course.

This course will be the great add on on your profile.Who in this world do not like to earn more? It is the typical demand supply relation that states that the demand for data scientists is more than their supply. Due to this drift there is good job opportunities for individual within this field and excellent pay scale.