A I A N A L Y T I C S

About Course

Data Science is one of the Emerging technologies which pave the way for the future. It is a mash-up of multiple disciplines which make up this Latest technology unique to learn using R and Python Programming languages. Its main components are statistics and machine learning which are used to apply in several business models to improve their choice of decision making and to understand the more about their Business. Master Data Scientist Program will help you master skills and tools like Statistics, Hypothesis testing, Clustering, Decision trees, Linear and Logistic regression, R Studio, Data Visualization, Regression models, Hadoop, Spark, PROC SQL, SAS Macros, Statistical procedures,Advanced analytics, Matplotlib, Excel analytics functions, Hypothesis testing, Zookeeper, Kafka interfaces. These skills will help you prepare for the role of a Data Scientist.

Learning Path

01
Understanding Basic Statistics
  1. Measure and Spread
  2. Centeal Limit Theorem
  3. Probabilities and Cumulative Probabilities
  4. Distribution
  5. Statistical Test
  6. Hypothesis Test
  7. ANOVA
02
Business Analytics With Advance Excel

The ability to analyze data is a powerful skill that helps you make better decisions. Microsoft Excel is one of the top tools for data analysis and the built-in pivot tables are arguably the most popular analytic tool. In this course, you will learn how to perform data analysis using Excel’s most popular features. You will learn how to create pivot tables from a range with rows and columns in Excel

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03
Business Analytics With Tableau

At Tableau, our mission is to help you see and understand your data. With Tableau Desktop you can connect to a wide variety of data that are stored in a variety of places. You can create workbooks, experiment with and explore your data safely (without impacting your source data), then present your findings using dashboards and stories.

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04
Data Science With R Programming

In this introduction to R, you will master the basics of this beautiful open-source language, including factors, lists, and data frames. With the knowledge gained in this course, you will be ready to undertake your first very own data analysis. With over 2 million users worldwide R is rapidly becoming the leading programming language in statistics and data science.
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05
Data Science With Python

Python is a very powerful programming language used for many different applications. Over time, the huge community around this open-source language has created quite a few tools to efficiently work with Python. In recent years, a number of tools have been built specifically for data science. As a result, analyzing data with Python has never been easier.
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Detailed Comparison

Business Analytics With Advance Excel

Business Analytics With Advance Excel

  • Filling Data
  • Formula Referencing
  • Creating Name Range
  • Logical Functions
  • Conditional Formatting
  • Advance Validation
  • Formulas, Dynamic Table
  • Sorting Data
  • Filtering Data
  • Creating Charts
  • Charting Techniques
  • Pivot Tables
  • File / Data Security
  • VBA- Macros, Basics
  • VBA - Worksheet and Ranges
  • Dashboards- Visualization Best Practices, Excel Charting Principles
  • Dashboards - Excel Pivot Tables, Creating Excel Dashboards
  • Creating Interactive Components
Detailed Curriculum
Business Analytics With Tableau

Business Analytics With Tableau

  • Introduction to Tableau
  • Extracting Data In Tableau
  • Visual Analytics I
  • Visual Analytics II
  • Filters
  • Tableau Functions
  • Calculations
  • Charts
  • Dynamic Functions
  • Dashboards
  • Interacting Tableau
Detailed Curriculum
Data Science With R

Data Science With R

  • Introduction to Tableau
  • Extracting Data In Tableau
  • Visual Analytics I
  • Visual Analytics II
  • Filters
  • Tableau Functions
  • Statistics-II
  • Regression Analysis
  • Classification
  • Clustering
  • Associations
Detailed Curriculum
Data Science With Python

Data Science With Python

  • Basic of Python
  • Function & File Handling
  • Algorithms, Debugging & Bug Fixing
  • ML Ecosystem in Python
  • Matplotlib & Seaborn
  • Algorithms
  • Pandas
  • Clustering
  • Linear Regression
  • Classification
  • Support Vector Machines
  • Neural Networks
Detailed Curriculum

Pre-Requisites

Any Graduate /PG /MBA with any subject expertise can pursue a career in Data Analytics and look for better job opportunities in the industry. Basic computers skill is enough to learn this course. We prepare candidates right from fundamentals of Statistical up to project level knowledge and make student Industry ready professional.

Students get real-time scenario while learning course and gains confidence in applying Analytics skill in assignments, project work, etc. Data science training provided on R, Advanced Excel and tools like Tableau, with assignments, projects, etc.

Mini - Project

Domain Covered: Banking Industry Tool for Practice in Class: R Software

Domain Covered: Banking and Education Industry Tool for Practice in Class: R Software

Domain Covered: Insurance and Banking Industry Tool for Practice in Class: R Software

Domain Covered: Insurance and Banking Industry Tool for Practice in Class: R Software

Job Opportunities

  • Big Data Analytics Business Consultant
  • Big Data Analytics Architect
  • Big Data Engineer
  • Data Administrator
  • Big Data Solution Architect
  • Big Data Analyst
  • Analytics Associate
  • Data Analyst Business
  • Analyst Data/Analytics Manager
  • Business Intelligence Manager
  • Business Intelligence Analytics Consultant
  • Metrics and Analytics Specialist
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Big Data Business Consultant
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Data Analyst
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Data Scientist

Satisfied Clients

Sanjana

I attended Big data hadoop course, training went on very well and I was able to explore in and out concepts in working with big data eco system. Trainer who taught me had a vast knowledge about the big data solutions and the exercise which the institute provided really helped me to understand the in depth idea of Big data. Trainer was very friendly and ready to provide help and support all the time. Never hesitated to clarify our questions. I would strong recommend this institute, if someone is looking for Big data hadoop training centre in Pune.

Tushar K

I am Tushar and completed my hadoop admin training in Pune at A.I. Analytics. My trainer is very professional and his way of approach toward the class was very interactive and interesting. He always used to ensure that everyone in the class is clear about the days hadoop training topics. I like to thank A.I. Analytics and my trainer for providing this big data training and placement in Pune

Yashesha

I completed my Big Data Training in A.I. analytics. The explanations given by trainer was nice and easy to learn. He will move to the next topic only after we completely understood the current session. He will clear the doubts whenever we call him, He is very friendly, The whole training session are very interactive and useful.

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