What is Data Science ?

Data Science is an interdisciplinary field that uses scientific techniques, algorithms and systems to extract knowledge from that data across a broad range of application domains.

It is one of the most promising careers that is in demand for all the skilled professionals. Data Scientists are required in almost all types of organizations as their role is valuable in all the companies. The work of a data scientist is to simplify large quantitative algorithms of information and to build a strategy for the organization. People who are working in this field need to be curious with the work and should be able to give an exceptional result with their core knowledge and technical skills. They should also possess knowledge in statistics, linear algebra and programming languages. Since data these days in the company have become more accessible, data scientists are not only required in large tech companies but also in other big and small industries.

Why To Choose Data Scientist as a Career Option ?

Demanding Job Profile

Demand in Data Scientist jobs is increasing but the supply is limited in India as more and more companies are looking forward to hiring data scientists. They not only help in making decisions but also guide them in finding new business opportunities.

High Paying Job

According to a report, data scientists have a high paying package as compared to any other jobs. Since data scientists work requires a deep practical and theoretical knowledge in their subject, thus resulting in huge salaries to employees in all the companies.

Provide value to business

Different sectors such as IT, healthcare, retailing and marketing require data scientists as they play a vital role in becoming valuable assets for the company. They act as strategic partners and trusted advertisers for the company and work towards building new marketing opportunities.

Ease Of Getting Hired

Since all types of companies these days have a vacancy for a data scientist position, thus the demand for this job will never decline and it will become easy for you to find a job after the completion of your Data Science Certification Course.

Better Products & Customer Experience

Experts in this field need to use machine learning which enables organizations to create better products and as a result better customer experiences.

JOB MARKET

According to Statistics, around 11.5 million jobs will be created by 2026. Earlier this year, prediction of 2.7 million job postings for Data Science and analytics roles across the globe.
A similar trend has also been observed in the domestic sector.
Analytics Insight has forecast that by 2025, there will be 137,630 data science job openings.
India, rising from 62,793 jobs in 2020. Analytics Insight also projected 72,337 data science job openings in India, next year.

WHY TO CHOOSE DATA SCIENCE

WHY DATA SCIENCE?

attractive financial package
huge job opportunities
lack of competition
diverse working exposure
rapid growth
growing demand

CURRICULUM

  • Module 1:

    • Introduction to Course
    • Anaconda Python and Jupyter Install and Setup
    • Environment Setup

    • Introduction to NumPy
    • NumPy Arrays
    • NumPy Indexing and Selection
    • NumPy Operations

    1. Introduction to Pandas
    2. Series - Part One and two
    3. DataFrames - Part One - Creating a DataFrame
    4. DataFrames - Part Two - Basic Properties
    5. DataFrames - Part Three - Working with Columns
    6. DataFrames - Part Four - Working with Rows
    7. Pandas - Conditional Filtering
    8. Pandas - Useful Methods - Apply on Single Column
    9. Pandas - Useful Methods - Apply on Multiple Columns
    10. Pandas - Useful Methods - Statistical Information and Sorting
      • Missing Data - Overview
      • Missing Data - Pandas Operations
      • GroupBy Operations - Part One
      • GroupBy Operations - Part Two - MultiIndex
      • Combining DataFrames - Concatenation
      • Combining DataFrames - Inner Merge
    11. Combining DataFrames - Left and Right Merge
      • Combining DataFrames - Outer Merge
      • Pandas - Text Methods for String Data
      • Pandas - Time Methods for Date and Time Data
      • Pandas Input and Output - CSV Files
      • Pandas Input and Output - HTML Tables
      • Pandas Input and Output - Excel Files
      • Pandas Input and Output - SQL Databases

    • Introduction to Matplotlib
    • Matplotlib Basics
    • Matplotlib - Understanding the Figure Object
    • Matplotlib - Implementing Figures and Axes
    • Matplotlib - Figure Parameters
    • Matplotlib Styling - Legends
    • Matplotlib Styling - Colors and Styles
    • Advanced Matplotlib Commands (Optional)

    • introduction to Seaborn
    • Scatterplots with Seaborn
    • Distribution Plots - Part One - Understanding Plot Types
    • Distribution Plots - Part Two - Coding with Seaborn
    • Categorical Plots - Statistics within Categories - Understanding Plot Types
    • Categorical Plots - Statistics within Categories - Coding with Seaborn
    • Categorical Plots - Distributions within Categories - Understanding Plot Types
    • Categorical Plots - Distributions within Categories - Coding with Seaborn
    • Seaborn - Comparison Plots - Understanding the Plot Types
    • Seaborn - Comparison Plots - Coding with Seaborn
    • Seaborn Grid Plots
    • Seaborn - Matrix Plots

    • Data Analysis and Visualization Capstone Project Exercise

    • Word Clouds & How to install Additional Python Packages
    • Creating your First Word Cloud

WHY WE?

Learn the knowledge and skills to read and interpret Big Data

Become proficient using state-of-the-art industry tools

Learn how to critically analyze databases and to give best innovative solutions

Gain real world practical knowledge.

Learn and apply professional ethics, teamwork, critical analysis, communication and management skills.

Build strong industry networks

Earn an industry Recognised Certification

Be in demand

Get complete Placement Assistance

Anion Softech has an unwavering commitment in helping freshers keep up with changing technologies.

Affordable fees structure and learn from experienced trainers.

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