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Best Institutes for Data Analytics training in Visakhapatnam with Course Fees

List of 4+ Data Analytics training institutes located near to you in Visakhapatnam as on August 24, 2019. Get access to training curriculum, placement training, course fees, contact phone numbers and students reviews.

 

 

training institutes GRAFX IT SOLUTIONS PVT LTD
Visakhapatnam - Visakhapatnam City
Best training institute
GRAFX IT SOLUTIONS PVT LTD at Visakhapatnam City - class room	 photo_17778 GRAFX IT SOLUTIONS PVT LTD at Visakhapatnam City - class room	 photo_16904 
Address: 47-3-29/2, Dwarakanagar 5th lane , Behind Gayatri inter college, Near FIIT,JEE, Tilak Road, City Visakhapatnam-560076

GRAFX IT SOLUTIONS provides best training in software, hardware, animation, testing, MS Project, Primavera, SAP and SAS
 
training institutes PivotalSoft
Visakhapatnam - Srinagar
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training institutes RADIANT TECHNOLOGIES
Visakhapatnam - Visakhapatnam City
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Address: 47-9-25 3RD LANE City Visakhapatnam-530016

 
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Data Analytics Training Institutes in Visakhapatnam - by Location

Yet5.com Provides complete list of best Data Analytics training institutes in Visakhapatnam and training centers with contact address, phone number, training reviews, course fees, job placement, course content, special offers and trainer profile information by area.

 


 

 

 

Learning Data Analytics course in Visakhapatnam - Benefits, Advantages & Placements.

We have identified the benefits of learning data-analytics course in Visakhapatnam.
Data Analytics training in Visakhapatnam is part of Bigdata training course class, Data Analytics is the science of analyzing data to convert the obtained information to useful knowledge
or it is the science of drawing insights from some source of information. It refers to quantitative as well as qualitative techniques used for improving the business gain. Data is extracted and categorized to identify and analyze the behavioral data and patterns, and techniques vary according to organizational requirements.

Data analytics program is mainly conducted in business-to-consumer applications. Global organizations will collect and analyze data associated with customers, business processes, market economics or practical experience. He/she who conducts this process are called as data analyst. Their responsibility is to generate insights from data and present it to stakeholders such as external or internal clients.
They first clean it up to prepare it for analysis. Later data analysis step involves exploration of data with descriptive statistics and then building predictive model for prediction. A Data analyst must know basics and intermediary statistics and know how to apply it with SAS / SPSS. The popular tools used in data analytics are excel and sql. so candidate must possess a good knowledge of these tools

Vishakhaptanam also known as Vizag and Waltair is the largest city and fincial city of Andhra Pradesh residing on the banks of bay of Bengal. The city is the 9th largest city contributing to the country overall gross domestic product rate as of 2016. The city attracts a lot of tourists mainly for the scenic beaches. The city heads back to the history of kalinga dynasty and more. It is the fifth most busiest city in the country. The city is also a hub for many IT industries and core MNCs. The students are attracted to the city because of the education and research institutions in the city like National Law University , National Institute of Oceanography, Indian Institute of Management, Indian Institute of Petroleum and Energy are the other institutions of national importance. The training institutes are well equipped that will teach students with updated technology. The cost of living is affordable.
You have travel connectivity to data-analytics course educational training institutes in Visakhapatnam. The APSRTC Vishakhapatnam operates to all the cities , inner district places in the state. The railway station connects all the major cities in the country. The taxis and auto rickshaw connects all the areas of the city which is commonly and frequently used by the resident.

 

 

 

Data Analytics course Content / syllabus in visakhapatnam

Below is the Data Analytics course content in visakhapatnam used by the training institutes as part of the Data Analytics course training. The Data Analytics course syllabus covers basic to advanced level course contents which is used by most of Data Analytics training classes in visakhapatnam .

 

Introduction to Data Management

1.1 Language of Data Analytics
Learn tools and languages used for data analysis - R, Excel, SQL, Python & Tableau.These modules are also part of preparatory course

1.2 Introduction to Data Warehousing and OLAP
Equip yourself with the knowledge to extract and pre-process data before analysis

1.3 Data Preperation
Learn how to prepare data before you analyse them

1.4 Case Study- Investments
Implement your learnings to find sectors in which different companies ought to invest


2 Statistics and EDA

2.1 Data Visualization
Make your data alive with visuals using R and tools like Tableau

2.2 Descriptive Statistics
Summarize and describe data sets using a measures such as Central tendency and variability

2.3 Inferential Statistics
Learn probability, Central Limit Theorem and much more to draw inferences

2.4 Exploratory Data Analysis
Derive initial insights from the data using R and other visualization tools

2.5 Hypothesis Testing
Understand how to formulate & test hypotheses to solve various business problems

2.6 Case Study- Uber Supply Demand Gap
Apply Statistics and understand how you can solve the supply-demand gap of Uber cabs


3 Introduction to Predictive Analysis I

3.1 Linear Regression
Learn to implement linear regression and predict continuous data values

3.2 Supervised Classification
Understand and implement algorithms like K-NN*, Naive Bayes and Logistic Regression

3.3 Clustering
Learn how to create segments based on similarities using K-Means and Hierarchical clustering

3.4 Case Study - Telecom Churn
Help a telecom giant predict if a customer will churn or not. Apply multiple algorithms simultaneously to see which one works the best



4 Introduction to Predictive Analysis II

4.1 Time Series
Learn how to make predictions using time dependent/variant data

4.2 Decision Trees
Tree-based model that is simple and easy to use. Learn the fundamentals on how to implement them

4.3 Support Vector Machines
Learn to classify data points using support vectors

4.4 Neural networks
Master Feed-forward, Recurrent and Gaussian Neural Networks. This is your way into AI

4.5 Association Rule Mining
Ever wondered why beer is kept next to diaper in superstores? Find out in this module






 

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