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Data Analytics

Analytics is the discovery, interpretation, and communication of meaningful patterns in data. This area relies on the application of statistics, computer programming, and business understanding to quantify business performance. This course helps in creating a strong foundation about analytics and helps you to enter/switch your career to analytics.

Finance Course

Course

Statistics Logo
Statistics
Excel Logo
MS Excel
R Logo
R Programming
Python Logo
Python
SQL
SQL
Tableau Logo
Tableau

Key Highlights

Maximum Processes

No Pre-requisite to learn data science

Guest Lectures

Math for Machine learning & Deep learning explained in an easy way

Dynamic Course Content

Detailed explanation of Python Language

All Process

Detailed explanation of algorithms with mathematics

Practical Examples

Visualisation techniques to learn from Data

Curriculum

Module 1 - STATISTICS

20 Hours

Univariate Analysis Multivariate Analysis
Data Types Modelling Methodology
Measurement & Scaling Supervised
Bi-variate Analysis Unsupervised
Hypothesis Testing NLP
Probability Forecasting

Module 2 - EXCEL

20 Hours

Introduction
Basics
Advanced
Statistics
Multivariate Analysis

Module 3 - R

12 Hours

Introduction Date & Time functions
Packages Joins
Help Data Merging
Working Directory Functions
Importing & exporting Family Functions
Data Types Missing values
Data Creation Conditions
Data Conversions Plots
Understanding the data Statistics
Slicing & extraction of data

Module 4 - PYTHON

20 Hours

Introduction
Packages
Data Types
Data Conversions
Understanding the data
Slicing & extraction of data
Working Directory
Errors & Exceptions
Missing values
Conditions
Statistics
Multivariate Analysis

Module 5 - SQL

12 Hours

Introduction Conditions
Basics Operators
Advanced Functions

Module 6 - TABLEAU

12 Hours

Introduction Panes & Legends
Basics Filters
Types of variables Charts
Functions Advanced

From the Program Director

FinTech Studies presents to you both experience and expertise to shape your career path, by providing the most relevant skills in a most affordable and easy to understand medium through our scientifically designed course curriculum, which is in line with current and future trend of the need of the Data Industry.

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How it will work?

Career Counseling

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What our student say?

Karthik

FTS Data Science curriculum is designed and developed in collaboration with Industry Professionals. This mix of content had helped to start my career in Data Science.

Sudha

Having a small exposure to programming in the college, I was afraid to join this course. In order to curb my fear, FTS team assisted me in developing my study plan in order to perform in DS and prepare me for placements.