Data Analytics

Professional Certification Course to enter in IT Industry with Knowledge and Experience


Complete Course Curriculum

Course Duration: 6 - Months

Course Fees: 30000/-

Business Statistics

  • Counting, Probability, and Probability Distributions
  • Sampling Distributions
  • Estimation and Hypothesis Testing
  • Scatter Diagram
  • Anova and Chisquare
  • Imputation Techniques
  • Data Cleaning
  • Correlation and Regression

  • Data Analytics Overview
  • Importance of Data Analytics
  • Types of Data Analytics
  • Descriptive Analytics
  • Diagnostic Analytics
  • Predictive Analytics
  • Prescriptive Analytics
  • Benefits of Data Analytics
  • Data Visualization for Decision Making
  • Data Types, Measure Of central tendency, Measures of Dispersion
  • Graphical Techniques, Skewness & Kurtosis, Box Plot
  • Descriptive Stats
  • Sampling Funnel, Sampling Variation, Central Limit Theorem, Confidence interval

  • Excel tutorial
  • Text to Columns
  • Concatenate
  • The Concatenate Function
  • The Right Function with Concatenation
  • Absolute Cell References
  • Data Validation
  • Time and Date Calculations
  • Conditional Formatting
  • Exploring Styles and Clearing Formatting
  • Using Conditional Formatting to Hide Cells
  • Using the IF Function
  • Changing the “Value if false” Condition to Text
  • Pivot Tables
  • Creating a Pivot Table
  • Specifying PivotTable Data
  • Changing a PivotTables Calculation
  • Filtering and Sorting a PivotTable
  • Creating a PivotChart
  • Grouping Items
  • Updating a PivotTable
  • Formatting a PivotTable 
  • Using Slicers
  • Charts
  • Creating a Simple Chart
  • Charting Non-Adjacent Cells
  • Creating a Chart Using the Chart Wizard
  • Modifying Charts
  • Moving an Embedded Chart
  • Sizing an Embedded Chart 
  • Changing the Chart Type
  • Chart Types
  • Changing the Way Data is Displayed
  • Moving the LegendFormatting Charts
  • Adding Chart Items
  • Formatting All Text
  • Formatting and Aligning Numbers
  • Formatting the Plot Area
  • Formatting Data Markers
  • Pie Charts
  • Creating a Pie Chart
  • Moving the Pie Chart to its Own Sheet
  • Adding Data Labels
  • Exploding a Slice of a Pie Chart
  • Data Analysis − Overview
  • types of Data Analysis
  • Data Analysis Process
  • Working with Range Names
  • Copying Name using Formula Autocomplete
  • Range Name Syntax Rules
  • Creating Range Names
  • Creating Names for Constants
  • Managing Names
  • Scope of a Name
  • Editing Names
  • Applying Names
  • Using Names in a Formula
  • Viewing Names in a Workbook
  • Copying Formulas with Names
  • Difference between Tables and Ranges
  • Create Table
  • Table Name
  • Managing Names in a Table
  • Table Headers replacing Column Letters
  • Propagation of a Formula in a Table
  • Resize Table
  • Remove Duplicates
  • Convert to Range
  • Table Style Options
  • Table Styles
  • Cleaning Data with Text Functions
  • Removing Unwanted Characters from Text
  • Extracting Data Values from Text
  • Formatting Data with Text Functions
  • Date Formats
  • Conditional Formatting
  • Sorting
  • Filtering
  • Lookup Functions
  • Pivoting

  • Data Introduction to Oracle Database
  • Retrieve Data using the SQL SELECT Statement
  • Learn to Restrict and Sort Data
  • Usage of Single-Row Functions to Customize Output
  • Invoke Conversion Functions and Conditional Expressions
  • Aggregate Data Using the Group Functions
  • Display Data from Multiple Tables Using Joins
  • Use Sub-Queries to Solve Queries
  • The SET Operators
  • Data Manipulation Statements
  • Use of DDL Statements to Create and Manage Tables
  • Other Schema Objects
  • Control User Access
  • Management of Schema Objects
  • Manage Objects with Data Dictionary ViewsManipulate Large Data Sets
  • Data Management in Different Time Zones
  • Retrieve Data Using Sub-queries
  • Regular Expression Support


  • Counting,Start Page
  • Show Me
  • Connecting to Excel Files
  • Connecting to Text Files
  • Connect to Microsoft SQL Server
  • Connecting to Microsoft Analysis Services
  • Creating and Removing Hierarchies
  • Bins
  • Joining Tables
  • Data Blending

  • Parameters
  • Grouping Example 1
  • Grouping Example 2 
  • Edit Groups
  • Set
  • Combined Sets
  • Creating a First Report
  • Data Labels
  • Create Folders
  • Sorting Data
  • Add Totals, Sub Totals and Grand Totals to Report

  • Bar Chart
  • Box Plot
  • Bubble Chart
  • Bump Chart
  • Bullet Graph
  • Circle Views
  • Dual Combination Chart
  • Dual Lines Chart
  • Funnel Chart
  • Traditional Funnel Charts
  • Gantt Chart
  • Grouped Bar or Side by Side Bars Chart
  • Heatmap
  • Highlight Table
  • Histogram
  • Cumulative Histogram
  • Line Chart
  • Lollipop Chart
  • Pareto Chart
  • Pie Chart
  • Scatter Plot
  • Stacked Bar Chart
  • Text Labe
  • Tree Map
  • Word Cloud
  • Waterfall Chart

  • Dual Axis Reports
  • Blended Axis
  • Individual Axis
  • Add Reference Lines
  • Reference Bands
  • Reference Distributions
  • Basic Maps
  • Symbol Map
  • Use Google Maps
  • Mapbox Maps as a Background Map
  • WMS Server Map as a Background Map

  • Calculated Fields
  • Basic Approach to Calculate Rank
  • Advanced Approach to Calculate Ra
  • Calculating Running Total
  • Filters Introduction
  • Quick Filters
  • Filters on Dimensions
  • Conditional Filters
  • Top and Bottom Filters
  • Filters on Measures
  • Context Filters
  • Slicing Fliters
  • Data Source Filters
  • Extract Filters

  • Create a Dashboard
  • Format Dashboard Layout
  • Create a Device Preview of a Dashboard
  • Create Filters on Dashboard
  • Dashboard Objects
  • Create a Story

  • Tableau online.
  • Overview of Tableau Server.
  • Publishing Tableau objects and scheduling/subscription

Power BI

  • Get Started with Power BI
  • Overview: Power BI concepts
  • Sign up for Power BI
  • Overview: Power BI data sources
  • Connect to a SaaS solution
  • Upload a local CSV file
  • Connect to Excel data that can be refreshed
  • Connect to a sample
  • Create a Report with Visualizations
  • Explore the Power BI portal

  • Overview: Visualizations
  • Using visualizations
  • Create a new report
  • Create and arrange visualizations
  • Format a visualization
  • Create chart visualizations
  • Use text, map, and gauge visualizations and save a report
  • Use a slicer to filter visualizations
  • Sort, copy, and paste visualizations
  • Download and use a custom visual from the gallery

  • Modify and Print a Report
  • Rename and delete report pages
  • Add a filter to a page or report
  • Set visualization interactions
  • Print a report page
  • Send a report to PowerPoint
  • Create a Dashboard
  • Create and manage dashboards
  • Pin a report tile to a dashboard
  • Pin a live report page to a dashboard
  • Pin a tile from another dashboard
  • Pin an Excel element to a dashboard
  • Manage pinned elements in Excel
  • Add a tile to a dashboard
  • Build a dashboard with Quick Insights
  • Set a Featured (default) dashboard
  • Ask Questions about Your Data
  • Ask a question with Power BI Q&A
  • Tweak your dataset for Q&A
  • Enable Cortana for Power BI

  • Modify Share Data with Colleagues and Others
  • Publish a report to the web
  • Manage published reports
  • Share a dashboard
  • Create an app workspace and add users
  • Use an app workspace 
  • Publish an app
  • Create a QR code to share a tile
  • Embed a report in SharePoint Online

  • Use Power BI Mobile Apps
  • Get Power BI for mobile
  • View reports and dashboards in the iPad app

  • New Dax functions
  • Date and time functions
  • Time intelligence functions
  • Filter functions
  • Information functions
  • Logical functions
  • Math & trig functions
  • Parent and child functions
  • Text functions

  • The print statement
  • Comments
  • Python Data Structures & Data Types
  • String Operations in Python
  • Simple Input & Output
  • Simple Output Formatting
  • Deep copy
  • Shallow copy
  • Operators in python

Course NameFees Duration
Complete C Programming Course3000/-45 Days
Complete C ++ Programming Course3000/-45 Days
Core Java Development Course6000/-2 Months
Basic Python Development6000/-2 Months
Basic Android Development6000/-2 Months
Web Designing6000/-2 Months
JavaScript6000/-2 Months
Graphic Designing6000/-2 Months
Digital Marketing6000/-2 Months
PHP & MySQL6000/-2 Months
Internet of Things (IOT)6000/-2 Months
Angular JS6000/-2 Months
Node JS6000/-2 Months
React JS6000/-2 Months
C #6000/-2 Months
Project Development

Have a look on Exciting Project ideas on C Programming

You can build a simple calculator with C using switch cases or if-else statements. This calculator takes two operands and an arithmetic operator (+, -, *, /) from the user, however, you can expand the program to accept more than two operands and one operator by adding logic. Then, based on the operator entered by the user, it conducts the computation on the two operands. The input, however, must be in the format “number1 operator1 number2” (i.e. 2+4).

Using C language, you can also create a student management system. To handle students’ records (like Student’s roll number, Name, Subject, etc.) it employs files as a database to conduct file handling activities such as add, search, change, and remove entries. It appears a simple project but can be handy for schools or colleges that have to store records of thousands of students.

If you have ever lost track of which day of the week is today or the number of days in that particular month, you should build a calendar yourself. The Calendar is written in the C programming language, and this Calendar assists you in determining the date and day you require. We can implement it using simple if-else logic and switch-case statements. The display() function is used to display the calendar and it can be modified accordingly. It also has some additional functions.

This Phone book Project generates an external file to permanently store the user’s data (Name and phone number). The phone book is a very simple C project that will help you understand the core concepts of capacity, record keeping, and data structure. This program will show you how to add, list, edit or alter, look at, and delete data from a record.

An online voting system is a software platform that enables organizations to conduct votes and elections securely. A high-quality online voting system strikes a balance between ballot security, convenience, and the overall needs of a voting event. By collecting the input of your group in a systematic and verifiable manner, online voting tools and online election voting systems assist you in making crucial decisions. These decisions are frequently taken on a yearly basis – either during an event (such as your organization’s AGM) or at a specific time of the year. Alternatively, you may conduct regular polls among your colleagues (e.g. anonymous employee feedback surveys).

With this voting system, users can enter their preferences and the total votes and leading candidate can be calculated. It’s a straightforward C project that’s simple to grasp. Small-scale election efforts can benefit from this.

Tic-tac-toe, also known as noughts and crosses or Xs and Os, is a two-person paper and pencil game in which each player alternates marking squares in a three-by-three grid with an X or an O. The winner is the player who successfully places three of their markers in a horizontal, vertical, or diagonal row. You can implement this fun game using 2D arrays in the C programming language. It is important to use arrays while creating a Tic Tac Toe game in the C programming language. The Xs and Os are stored in separate arrays and passed across various functions in the code to maintain track of the game’s progress. You can play the game against the computer by entering the code here and selecting either X or O. The source code for the project is given below.

Mathematical operations are an everyday part of our life. Every day, we will connect with many forms of calculations in our environment. Matrices are mathematical structures in which integers are arranged in columns and rows. In actual life, matrices are used in many applications. The most common application is in the software sector, where pathfinder algorithms, image processing algorithms, and other algorithms are developed. Some fundamental matrix operations are performed in this project, with the user selecting the operation to be performed on the matrix. The matrices and their sizes are then entered. It’s worth noting that the project only considers square matrices.

Library management is a project that manages and preserves electronic book data based on the demands of students. Both students and library administrators can use the system to keep track of all the books available in the library. It allows both the administrator and the student to look for the desired book. The C files used to implement the system are: main.c, searchbook.c, issuebook.c, viewbook.c, and more.

The Electricity Cost Calculator project is an application-based micro project that predicts the following month’s electricity bill based on the appliances or loads used. Visual studio code was used to write the code for this project. This project employs a multi-file and multi-platform strategy (Linux and Windows). People who do not have a technical understanding of calculating power bills can use this program to forecast their electricity bills for the coming months; however, an electricity bill calculator must have the following features:

  • All loads’ power rating
  • Unit consumed per day
  • Units consumed per month, and
  • Total load calculation


The project’s goal is to inform a consumer about the MOVIE TICKET BOOKING SYSTEM so that they can order tickets. The project was created with the goal of making the process as simple and quick as possible. The user can book tickets, cancel tickets, and view all booking records using the system. Our project’s major purpose is to supply various forms of client facilities as well as excellent customer service. It should meet nearly all the conditions for reserving a ticket.

Snakes and ladders, also known as Moksha Patam, is an ancient Indian board game for two or more players that is still considered a worldwide classic today. It’s played on a gridded game board with numbered squares. On the board, there are several “ladders” and “snakes,” each linking two distinct board squares. The dice value can either be provided by the user or it can be generated randomly. If after moving, the pointer points to the block where the ladder is, the pointer is directed to the top of the ladder. If unfortunately, the pointer points to the mouth of a snake after moving, the pointer is redirected to the tail of the snake.

This system is built on the concept of booking bus tickets in advance. The user can check the bus schedule, book tickets, cancel reservations, and check the bus status board using this system. When purchasing tickets, the user must first enter the bus number, after which the system will display the entire number of bus seats along with the passengers’ names, and the user must then enter the number of tickets, seat number, and person’s name.
We will be using arrays, if-else logic, loop statements, and various functions like login(), cancel(), etc. to implement the project.

Pacman, like other classic games, is simple to play. In this game, you must consume as many small dots as possible to earn as many points as possible. The entire game was created using the C programming language. Graphics were employed in the creation of this game. To create the game, you have to first define the grid function to manage the grid structure. To control the movement, you can define functions such as move_right(), move_left(), move_up() and move_down(). C files to add ghosts and their functionalities, positions check, etc. can be added to make the game more fun. The customers will find this C Programming game to be simple to comprehend and manage.

Have a look on Exciting Project ideas on Data Analytics

Color Detection Project

Color detection is the process of identifying any color in an image. Color detection is essential for the recognition of objects, and it is also included in many drawing and image editing applications. Most of us can’t differentiate between or even remember the names of colors since there can be up to 16 million colors based on RGB (Red, Green, Blue) values. Therefore, Color Detection is an excellent data analytics project for students, as they will be able to build an interactive application that will accurately identify the color in an image.

Exploratory Data Analysis Projects (EDA)

A data analyst’s job would be incomplete without EDA (Exploratory Data Analysis). An EDA analyses the structure of data, allowing you to identify patterns and characteristics. Furthermore, they assist you in cleaning data, extracting important variables, identifying anomalies, and testing your underlying assumptions often using statistical graphics and other data visualization methods. Programming languages such as R and Python are commonly used. They have a number of pre-existing algorithms you can use to carry out your work and speed up the process. Some data analysis techniques are easier to do with Python and others with R – so one should know what language to use so they can simplify their projects and needs. EDA can be performed with or without graphics. Although this process can be challenging and time-consuming, it is also extremely rewarding for a data analyst

Sentiment Analysis

It is a type of data analysis that measures the inclination of people’s opinions using computational linguistics, NLP (natural language processing), and text analysis. By undertaking a sentiment analysis project, you will be able to determine the viewers’ positive or negative polarizations based on their sentiments (emotions). Such extractions can assist you to discover what your viewers are thinking about a particular idea by looking at their comments and opinions posted/shared on websites, social media accounts, etc. Online communities use this type of analysis extensively to manage the reputation of a brand or perform competitor analysis using the R framework. The aim of this data analytics project in R is to determine what viewers think and feel based on the words they use. Depending on the analysis, classes are either binary (positive or negative) or multiple (happy, confused, angry, sad, disgusted, etc.). Such an analysis lends itself well to public review sites and social media platforms, where people are likely to share their opinions publicly.

Social Media Reputation Monitoring

It’s no secret that social media platforms play a crucial role in establishing a relationship between a brand and its customers. The image of a brand can be tarnished by a single comment about the product’s poor quality or service in a matter of minutes. So how to address such a concern? By undertaking Social Media reputation monitoring projects, data generated on social media can be collected. Monitoring social media is the best way to discover what people are saying about products, competitors, industry, pandemic response, customer service wait times, basically anything the audience might be inclined to comment on. As a result, one can identify comments pertaining to their brand and identify possible ways to improve it. Using it, you can ensure that your brand is not being tarnished on the web. In case you find it, you can strategize and deal with it.

Fake News Detection

What do you think about the news you hear on social media? Most of it is fake, right? If so, how can you tell if it’s fake? Python is your best bet. Practicing this Python project on detecting fake news will help you distinguish between real and false news easily. Python can be used to create this data analytics project, which can detect hoaxes or false news that are created to fulfill a political agenda. Social media and other online media are used to spread this news. The model is created using the Python language to detect the authenticity of news stories. It will be helpful if you get familiar with terms related to the project such as fake news, TDFIDFvectorizer, and PassiveAggressive classifier before proceeding.


There’s nothing more amazing than telling someone everything and being completely unjudged. What a top-notch experience, and that’s what chatbots are all about. With the chatbot project, you will create a piece of software that can communicate and perform actions akin to that of a human. It is difficult for businesses to handle the surge of customer queries and messages without the use of chatbots. Our lives are surrounded by powerful chatbots that use AI and Machine Learning techniques – from messaging applications to smart wearables. Designing a chatbot is based on three principles: Artificial Intelligence, Data Science, and Machine Learning. You can train chatbots utilizing recurrent neural networks as well as JSON datasets. Python is the most common programming language used.

Handwritten digit recognition

Human handwritten digits are not perfect and can be made in many different ways, which makes it difficult for machines to recognize them. By taking handwritten digit recognition projects, you will be able to give machines the capability to recognize human handwritten digits. Using the image of a digit, handwritten digit recognition is able to identify the digit in the image. An important project that uses neural networks is handwritten digit recognition utilizing MNIST datasets. With the help of an integrated GUI, a handwritten digit recognition system could not only detect scanned images of handwritten digits but might allow digits to be written on the screen for recognition.

Gender and Age detection

The project is an application-based micro project that predicts the following month’s electricity bill based on the appliances or loads used. IThis interesting data analytics project can be built in Python, allowing it to predict age and gender from a single image. For this project, you must be familiar with computer vision (enabling computers to recognize digital images and videos as a human does) and its principles. You will use Deep Learning to determine an individual’s age and gender by looking at only one picture of their face. There may be a predicted gender of ‘Male’ or ‘Female’. Factors like makeup, facial expressions, lighting, and obstructions make it very difficult to determine an individual’s exact age from a single image. Therefore, the predicted age may range from (0 – 2 years), (4 – 6 years), (8 – 12 years), (15 – 20 years), (25 – 32 years), (38 – 43 years), (48 – 53 years), (60 – 100 years). employs a multi-file and multi-platform strategy (Linux and Windows). People who don't have a technical understanding of calculating power bills can use this to forecast their electricity bills.

Detection of Global Suicide Rates

Every year, there is a rapid increase in suicide attempts due to the deteriorating quality of mental health. In addition, the worldwide pandemic situation has further exacerbated mental suffering. Still, mental health specialists are doing their best to address this issue. In other words, you should take the time to develop such a project if you work in the health or social care domain. Data analytics project ideas like this can help you discover how many suicides occur worldwide. Data from this global suicide rates project covers suicide rates in various countries, as well as information on age, year, gender, population, GDP, and more. Additionally, you can determine whether the overall suicide rate is increasing or decreasing, and which gender commits suicide more often. Using this analysis, you can determine suicide rates as a percentage

Real-time pollution density measurement

Pollution levels caused by different industries and urbanization have risen dramatically over the past few years. By the end of this project, you will be able to make an automated system for measuring pollution density, which will trigger an alarm if pollution quality goes below a certain level. You can choose either water, environment, sound, radiation, or any other type of population according to your interest. To maintain your project’s efficiency, you should stick to a particular type of pollution as a beginner. In this type of project, you can include sub-ideas such as upcoming pollution attention, comparative study of pollution density before and after lockdown, etc.

COVID19 Data Visualization Using Python

Having topical subject matter in a portfolio is always a plus, and the pandemic is no exception. Monitoring the evolution of COVID-19 cases is of the utmost importance for the authorities during the current Coronavirus pandemic to make informed policy decisions (e.g., lockdowns) and to share information with the general public so that appropriate public health measures can be taken. In this project, we will use the COVID19 dataset containing data related to the numbers of confirmed cases, recovered cases, and deaths cases. As a result of this dataset, we will be able to answer these questions: Which countries have been most affected by the spread of the virus? How have COVID19 national lockdowns and self-isolation affected COVID19 transmission in different countries? How about providing a global heatmap that shows where cases have spiked and where there are few?

Most followed on Instagram

Over the last few years, social media has grown at an unimaginable pace, and more people have become influencers. It is important to understand popularity so that ordinary users may raise their popularity, and business users may choose better influencers. With this project, you might be able to build an interactive bar chart that tracks and shows the most followed accounts over time. This dataset of the most-followed users on Instagram is an excellent resource for those interested in social media or celebrity, or brand culture. You may also check whether brands or celebrities are more effective at influencer marketing.

Frequently Asked Questions

  • All branch graduates students or undergraduate students who want to become professional in C programming.
  • All stream students eg. Engineering, BCA, BSc, BBA, Bcom, BA.
  • Any who wants to learn a new skill or improve skill for there career.

  • Basic computer knowledge.
  • General knowledge of what are programming languages.

  • Yes, a course completion certificate is given after the completion of this course.

  • Both the offline and online modes are available for this course.

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