Data Analytics Training

Viswa Online Trainings is one of the world’s leading online IT training providers. We deliver a comprehensive catalog of courses and online training for freshers and working professionals to help them achieve their career goals and experience our best services.

4627 Reviews 4.9

Learners : 1080

Duration :   Days

About Course

Our Data analytics course are evolving disciplines. This class quickly equips you with that foundation. Whether you’re charting your overall business intelligence strategy or performing analysis yourself, these basic tools and techniques rapidly inform effective decision-making. In this fast-paced introductory workshop, we’ll examine the history of business intelligence, its relationship to data analysis, and why the two are needed to help businesses deliver a complete assembly of the ‘data puzzle’. We’ll also address hurdles teams face when dealing with data overload and suggests some possible solutions.

Data Analytics Training Course Syllabus

Introduction to Python

✔ Why Python for Machine Learning
✔ Installing Python
✔ Python IDE’s
✔ Writing the First Python Programme
✔ Executing of Python programs

Data Types in Python (Data Analytics)

✔ Integer
✔ Float
✔ String
✔ Bool

Operators in Python

✔ Relational Operators
✔ Arithmetic Operators
✔ Logical Operators
✔ Concatenation Operator

Python Objects (Data Analytics)

✔ Lists
✔ Tuples
✔ Sets
✔ Dictionaries
✔ Range

Control Flow and Loops

✔ If and else if statements
✔ For and while Statements
✔ Iterables and Iterators
✔ List Comprehensions and Generator

Functions in Pythons (Data Analytics)

✔ Writing user-defined functions
✔ Lambda Functions
✔ Using *args and *kwargs

Error handling in Python

✔ Handling Errors in Python
✔ Types of Errors
✔ Using try and except
✔ Raising an Error

Python Modules

✔ Usage of Modules
✔ Datetime
✔ Re
✔ OS
✔ Numpy
✔ Pandas
✔ Matplotlib • Seaborn
✔ scikit-learn
✔ sklearn and many more

Working with Files

✔ File Input/output
✔ Opening of Files
✔ Reading Information from Files
✔ Writing to a File

Importing Data in Python

✔ Csv Files
✔ Excel Sheets
✔ SAS Files
✔ From Web
✔ Working with Relational Databases
✔ Using API’s

Cleaning Data in Python

✔ Exploring the data
✔ Tidying Data for Analysis
✔ Combining Data
✔ Cleaning data


✔ Working with Numpy Arrays
✔ Creating and Manipulating Numpy Arrays
✔ Mathematical and Statistical Functions
✔ Subsetting Numpy Arrays
✔ Concatenating Numpy Arrays


✔ Pandas Foundations
✔ Data Ingestion and Inspection
✔ Exploratory Data Analysis
✔ Time Series in Pandas

Manipulating Data Frames with Pandas

✔ Extracting and Transforming Data
✔ Advanced Indexing
✔ Re-arranging and Re-shaping of data
✔ Grouping Data

Merging Data Frames with Pandas

✔ Preparing Data
✔ Concatenating Data
✔ Merging Data

Introduction to Data Visualization

✔ Customizing plots
✔ Plotting 2D arrays
✔ Statistical Plotting using Seaborn
✔ Analyzing Time series and Images

Data Visualization using Bokeh

✔ Basic Plotting with Bokeh
✔ Layouts, Interactions and Annotations
✔ Building Interactive Apps with Bokeh

Regular Expressions in Python

✔ Basic concepts of String Manipulations
✔ Formatting Strings
✔ Pattern Matching
✔ Advance Regular Expressions

Live Instructor Based Training With Software
Lifetime access and 24×7 support
Certification Oriented content
Hands-On complete Real-time training
Get a certificate on course completion
Flexible Schedules
Live Recorded Videos Access
Study Material Provided

Data Analytics Training - Upcoming Batches

7th NOV 2022



Coming Soon



5th NOV 2022



Coming Soon



Don't find suitable time ?


Live Virtual Training

  • Schedule your sessions at your comfortable timings.
  • Instructor-led training, Real-time projects
  • Certification Guidance.

Self-Paced Learning

  • Complete set of live-online training sessions recorded videos.
  • Learn technology at your own pace.
  • Get access for lifetime.

Corporate Training

  • Learn As A Full Day Schedule With Discussions, Exercises,
  • Practical Use Cases
  • Design Your Own Syllabus Based
For Business

Data Analytics Training FAQ'S

What are the key requirements for becoming a Data Analyst?

These are standard data science interview questions frequently asked by interviewers to check your perception of the skills required. This data analyst interview question tests your knowledge about the required skill set to become a data scientist.

Get ahead in your career by learning Data Analytics through VISWA Online Trainings

Name the best tools used for data analysis.

A question on the most used tool is something you’ll mostly find in any data analytics interview questions. Such data science interview questions and data analyst behavioral interview questions are intended to test your knowledge and practical comprehension of the subject. Candidates with ample practical knowledge are the only ones to excel in this question. So make sure to practice tools and analytics questions for your analyst interview and data analyst behavioral interview questions

The most useful tools for data analysis are:

  • Tableau
  • Google Fusion Tables
  • Google Search Operators
  • RapidMiner
  • Solver
  • OpenRefine
  • NodeXL
  • io
  • Apache Spark
  • R Programming
  • SAS
  • Python
  • Microsoft Power BI
  • TIBCO Spotfire
  • Qlik
  • Google Data Studio
  • Jupyter Notebook
  • Looker
  • Domo

Define Outlier

A data analyst interview question and answers guide will not be complete without this question. An outlier is a term commonly used by data analysts when referring to a value that appears to be far removed and divergent from a set pattern in a sample. The outlier values vary greatly from the data sets. These could be either smaller, or larger but they would be away from the main data values. There could be many reasons behind these outlier values such as measurement, errors, etc. There are two kinds of outliers

What is K-mean Algorithm?

K-mean is a partitioning technique in which objects are categorized into K groups. In this algorithm, the clusters are spherical with the data points are aligned around that cluster, and the variance of the clusters is similar to one another. It computes the centroids assuming that it already knows the clusters. It confirms the business assumptions by finding which types of groups exist. It is useful for many reasons, first of all, because it can work with large data sets and is easily accommodative to the new examples.

How should you tackle multi-source problems?

Multi-source problems are a group of computational data composed of dynamic, unstructured, and overlapping data that is hard to go through or obtain patterns from. To tackle multi-source problems, you need to:

  • Identify similar data records and combine them into one record that will contain all the useful attributes, minus the redundancy.
  • Facilitate schema integration through schema restructuring.


vishal meda
vishal meda
They give trainings properly and trainers are well versed with them where i recommend to all viswa trainings are good!!
Ntr fan
Ntr fan
I just finished sap bods training in Hyderabad. Excellent course and curriculum 100% doubt clarification sessions. Thanks Chaitanya
Shiva Krishna
Shiva Krishna
I recently completed informatica online training with Chaitanya. Course was built by excellent trainer. And process of learning was streamlined. Thanks
Mohammad ali syed
Mohammad ali syed
It was great and smooth understandable training. You can learn lots.
Govinda Bhatia
Govinda Bhatia
Not recommended as there will be no server access working to do practical after training. Also there will be no fix for the same. So it's wastage of money. If server access not at all working then no meaning to provide server access. Also it not working for single day properly. Need to followup daily but in response you told will fix that sir at home once he will back will fix. After he came back again it's not working and not able to fix for single day also Every time new excuse it's wastage of money.
M Leela mohan
M Leela mohan
I took SQL Server and MSBI Online training with Murali Krishna. I must say the course content was highly qualitative and the trainer covered all concepts. Overall it was a good experience with VISWA Online Trainings.
Attended live Virtual training for IoT Trainer was very good. He had excellent knowledge of IoT and was very good at explaining concepts in detail.…
Lakshmi Lakshmi
Lakshmi Lakshmi
Best sap commerce cloud and Spartacus training institute in india. He provides a great mix of listening, speaking, and practical learning activities and a very safe, supportive learning environment. He maintains a friendly relationship with the students during class. He not only teaches but also monitors our practice status on daily basis.
Ch Chandranath
Ch Chandranath
I have undergone Oracle Tuning training. I can proudly say that this is one of the best training institutes available in the market. The way Mr. Kumar teaches the concepts and makes them understandable is very commendable and unique. Even a novice can clearly understand the concepts clearly after attending his classes.

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