Overview

Key Features

Benefits

Training Dates

Syllabus

FAQ’s

Course Overview

This course teaches SQL syntaxes shared by many types of RDBMS. This course covers everything that a data scientist needs to know to begin working with databases today! Python – Open source, highly flexible, large number of libraries and easy-to-learn. Python for Data Science course prepares you with  Python Programming capabilities for Data Manipulation, Exploratory Data Analysis and Data Visualization which are an absolute must for being a Data Science expert.

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Course Key Features

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Skills Focused

Why Become Data Scientist?

 

SQL has become a very important tool for the data scientists since it is helps in fetching, updating, inserting, manipulating and modifying data from data sources like RDBMS or datawarehouses. Without having knowledge in SQL a data scientist has to rely on others to get the data for them. Python is the most common coding language typically required in data science roles. Because of its versatility, a data scientist  can use Python for almost all the steps involved in data science processes. It can take various formats of data and easily import SQL tables into the Python code. Python comes with various Statistical, Machine Learning & Deep Learning libraries that can help a data scientist perform almost all tasks he/she needs.

salary

Why most prefer Scala for their training neeeds?

 

Upcoming Schedules

October 2020
November 2020
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Curriculmn

Day 1

SQL

Fundamentals of SQL syntaxes to perform DDL, DML Indexes, sorting & complex joins with inner join, left join, right join

Basics of Python

Learn to install Anaconda – Python distribution. Explore Python language fundamentals, including basic
syntax, variables, and types

Data Structures

Learn about the different data structures that Python can handle. Create and manipulate regular Python lists, tuple etc.

Conditional Statements

Learn about control and loops statements

Day 2

Packages & Functions

Learn to write user defined functions. import packages for various functionalities

Analyzing Data

Manipulate and analyze dataset in Python using Pandas. Build Numpy arrays, and perform interesting calculations

Data Visualization

Use various Python libraries to visualize data. Create and customize plots on real data

Frequently asked question 4

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Day 3

Frequently asked question 1

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Frequently asked question 2

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This course is for you if:
 
  1. You are interested in the field of data science and want to learn essential data science skills
  2. You are new to Python or are self-taught and you are looking for a more robust, structured learning program
  3. You’re a Software or Data Engineer interested in learning Python for Data Science

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Tools you will be learning

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Scipy
Numpy
IBM-Watson
Tools and Frameworks used
Apache-Spark
Apache_hbase
Tools and Frameworks used
Tools and Frameworks used

 

Companies we work with

 

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Why Scala?

WSG Partner

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FAQs

Frequently asked question 1

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