Data Science is the process of analyzing and interpreting large datasets to derive valuable insights that can influence business strategies and decision-making. It blends techniques from mathematics, statistics, programming, machine learning, and artificial intelligence to transform raw data into actionable knowledge. With data becoming a crucial asset for businesses, data science plays an essential role in industries such as finance, healthcare, retail, and more.

Key Elements of a Data Science Course:

• Mathematics & Statistics:
  Understand the foundational concepts required to analyze and interpret data, including probability, statistics, and algebra. These principles are crucial for making data-driven predictions and decisions.
• Programming:
  Learn key programming languages like Python and R, which are essential for data manipulation, building algorithms, and automating tasks.
• Machine Learning:
  Dive into predictive analytics and automation through machine learning models. This includes algorithms that allow systems to learn from data and make predictions or decisions without explicit programming.
• Big Data & Data Analysis:
  Explore how to handle massive datasets (Big Data) using tools that process and analyze information efficiently. This includes identifying patterns, trends, and correlations within the data.
• Business Intelligence:
  Focus on extracting insights that can directly influence business strategies and operations, making data-driven decisions for organizational growth.

This course offers a comprehensive approach, preparing you for real-world applications of data science in various industries.

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• ^{What is data science?}
• ^{Different type of analysis}
• ^{Different type of statistical methods}
• ^{forecasting methods}
• ^{R studio  introduction}

Introduction to Data Science

What is Data Science?
Different types of Analysis
Analytics Methodology
Basic Statistical Analysis
Basic Business Analysis
Forecasting method

R Studio

Introduction
Different types Data visualization using R
Different types of test using R
Data Manipulation
Clustering
Types of Regression method

Excel

Overview of Excel
Data visualization with different types of graphs
Data Analysis with Different methods
Data connections From Different Sources

Python

What is Python?
What is Numpy Package?
What is Pandas Package?
Different types of Data Visualization methods
Types of Regression method

SPSS

Overview of SPSS
Different types of Data Visualization
Types of Regression method

SAS

SAS Introduction
SAS Data Visualization
SAS Regression

Tableau

What is Tableau?
Importance of Tableau
Different types of Data Visualization method

SQL

What is SQL?
SQL Functions
SQL Keywords

Machine Learning

What is Machine Learning?
Importance of Machine Learning
Different types of Data visualization method
Types of Regression method
Natural Language Processing

BSS -GOVT of India approved Certification

• Diploma
• Degree
• Btech
• Mtech
• MCA
• BCA
• BBA
• MBA

At Ambit Automation, we understand that a successful data science career doesn’t stop at completing the course—it begins with real-world application and securing a job. Our placement support is designed to bridge the gap between training and employment, providing you with everything you need to thrive in the industry.

Real-World Projects & Internships:
You’ll have the opportunity to work on real-world projects during your course, which adds practical experience to your portfolio. Internship opportunities with partner companies give you hands-on exposure and a stepping stone toward a full-time role.

Industry Connections:
Ambit Automation maintains strong relationships with leading tech companies and startups, ensuring you have access to the latest job openings in data science, AI, and analytics roles.

Resume Building & Interview Preparation:
You’ll receive one-on-one guidance to craft a compelling resume that highlights your strengths and newly acquired skills. Our interview preparation sessions focus on technical and HR rounds, with mock interviews to build confidence and refine your approach.

Job Placement Assistance:
We provide ongoing job alerts and recommendations based on your skill set and career goals. Our dedicated placement team actively works to match your profile with relevant job opportunities, whether you’re a fresher or a professional transitioning to data science.