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Data Analytics Course

10,765 Learners 1121 Google Ratings

Are you ready to transform data into actionable insights? Our Data Analytics course is designed to equip you with the skills you need to excel in today's data-driven world. From cleaning up messy data to uncovering hidden patterns, you'll learn how to make sense of numbers and turn them into powerful stories. Whether you're a business professional looking to boost your career or a curious mind eager to explore new possibilities, this course is your ticket to data mastery.

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Data Analytics Course Overview

Welcome to the Data Analytics course, a comprehensive program designed to equip you with the essential skills and knowledge needed to excel in the dynamic field of data analysis. This course covers a broad spectrum of topics, beginning with foundational concepts such as data collection, cleaning, and exploration. You'll gain hands-on experience with powerful analytical tools and techniques, including statistical analysis, data visualization, and predictive modeling.

The curriculum emphasizes practical application, providing opportunities to work with real-world datasets and case studies. By delving into advanced topics like machine learning algorithms and big data technologies, you'll develop the expertise to extract actionable insights and make data-driven decisions. With a focus on both theoretical understanding and practical skills, this course prepares you for a successful career in data analytics, empowering you to tackle complex problems and drive innovation in various industries.

Throughout the course, you'll engage in a series of interactive projects and assignments designed to reinforce your learning and demonstrate your proficiency. These projects will challenge you to apply analytical methods to real-world scenarios, enhancing your problem-solving skills and your ability to communicate findings effectively. Additionally, you'll explore industry best practices and ethical considerations in data handling, ensuring you approach data analysis with a responsible and informed perspective.

Our expert instructors, who bring extensive industry experience and academic knowledge, will guide you through each module, providing personalized feedback and support. Collaborative learning is a key component, allowing you to work alongside peers to share insights and tackle complex problems together. By the end of the course, you'll have developed a robust portfolio of work that showcases your abilities to potential employers and positions you for success in a rapidly evolving field.

Whether you're looking to transition into a data-centric role, advance your current career, or simply gain a deeper understanding of data analytics, this course offers the tools and expertise needed to achieve your goals and make a significant impact in the world of data.

Data Analytics Course Curriculum

Module 1 - Python for Data Analytics ☰ 6 Topics

Topics: Python Basics

  • Need for Programming
  • Advantages of Programming
  • Overview of Python
  • Organizations using Python
  • Python Applications in Various Domains
  • Python Installation
  • Variables
  • Operands and Expressions
  • Conditional Statements
  • Loops
  • Command Line Arguments

Topics: Data Structure and File Operations

  • Method of Accepting User Input and eval Function
  • Python - Files Input/Output Functions
  • Lists and Related Operations
  • Tuples and Related Operations
  • Strings and Related Operations
  • Sets and Related Operations
  • Dictionaries and Related Operations

Topics: Functions and Object Oriented Programming

  • User-Defined Functions
  • Concept of Return Statement
  • Concept of name=” main ”
  • Function Parameters
  • Different Types of Arguments
  • Global Variables
  • Global Keyword
  • Variable Scope and Returning Values
  • Lambda Functions
  • Various Built-In Functions
  • Introduction to Object-Oriented Concepts
  • Built-In Class Attributes
  • Public, Protected and Private Attributes, and Methods
  • Class Variable and Instance Variable
  • Constructor and Destructor
  • Decorator in Python
  • Core Object-Oriented Principles
  • Inheritance and Its Types
  • Method Resolution Order
  • Overloading
  • Overriding
  • Getter and Setter Methods
  • Inheritance-In-Class Case Study

Topics: Working with Modules and Handling Exceptions

  • Standard Libraries
  • Packages and Import Statements
  • Reload Function
  • Important Modules in Python
  • Sys Module
  • Os Module
  • Math Module
  • Date-Time Module
  • Random Module
  • JSON Module
  • Regular Expression
  • Exception Handling

Topics: Introduction to NumPy

  • Basics of Data Analysis
  • NumPy - Arrays
  • Operations on Arrays
  • Indexing Slicing and Iterating
  • NumPy ArrayAttributes
  • Matrix Product
  • NumPy Functions
  • Functions
  • Array Manipulation
  • File Handling Using NumPy
  • Array Creation and Logic Functions
  • File Handling Using Numpy

Topics: Data Manipulation Using Pandas

  • Introduction to pandas
  • Data structures in pandas
  • Series Data Frames
  • Importing and Exporting Files in Python
  • Basic Functionalities of a Data Object
  • Merging of Data Objects
  • Concatenation of Data Objects
  • Types of Joins on Data Objects
  • Data Cleaning using pandas
  • Exploring Datasets
Module 2 - Data Science Primer and Statistics ☰ 4 Topics

Topics: Basics of Data Analysis

  • What is Data Analytics?
  • What does Data Analytics involve?
  • Era of Data Analytics
  • Business Intelligence vs Data Analytics vs Data Science
  • Life Cycle of Data Analytics
  • Tools of Data Analytics
  • Application of Data Analytics

Topics: Exploratory Data Analysis

  • Introduction
  • Stages of Analytics
  • CRISP DM Data Life Cycle
  • Data Types
  • Introduction to EDA
  • First Business Moment Decision
  • Second Business Moment Decision
  • Third Business Moment Decision
  • Fourth Business Moment Decision
  • Correlation

Topics: Feature Engineering

  • What is Feature
  • Feature Engineering
  • Feature Engineering Process
  • Benefit
  • Feature Engineering Techniques

Topics: Inferential Statistics & Hypothesis Testing

  • Basics Of Probability
  • Discrete Probability Distributions
  • Continuous Probability Distributions
  • Central Limit Theorem
  • Concepts Of Hypothesis Testing - I: Null And Alternate Hypothesis, Making A Decision, And Critical
  • Value Method
  • Concepts Of Hypothesis Testing - II: P-Value Method And Types Of Errors Industry Demonstration
  • Of Hypothesis Testing: Two-Sample Mean And Proportion Test, A/B Testing
Module 3 - SQL ☰ 5 Topics

Topics: Getting Started and Creating, Selecting & Retrieving Data with SQL

  • Introduction to Databases
  • How to create a Database instance on Cloud?
  • Provision a Cloud hosted Database instance.
  • What is SQL?
  • Thinking About Your Data
  • Relational vs. Transactional Models ER Diagram
  • CREATE Table Statement and DROP tables
  • UPDATE and DELETE Statements
  • Retrieving Data with a SELECT Statement
  • Creating Temporary Tables
  • Adding Comments to SQL

Topics: Filtering, Sorting, and Calculating Data with SQL

  • Basics of Filtering with SQL
  • Advanced Filtering: IN, OR, and NOT
  • Using Wildcards in
  • SQL Sorting with ORDER BY
  • Math Operations
  • Aggregate Functions
  • Grouping Data with SQL

Topics: Subqueries and Joins in SQL

  • Using Subqueries
  • Subquery Best Practices and Considerations
  • Joining Tables
  • Cartesian (Cross) Joins
  • Inner Joins
  • Aliases and Self Joins
  • Advanced Joins: Left, Right, and Full Outer Joins
  • Unions

Topics: Modifying and Analyzing Data with SQL

  • Working with Text Strings
  • Working with Date and Time Strings
  • Date and Time Strings Examples
  • Case Statements
  • Views
  • Data Governance and Profiling
  • Using SQL for Data Science

Topics: Accessing Databases using Python

  • How to access databases using Python?
  • Writing code using DB-API
  • Connecting to a database using DB API
  • Create Database Credentials
  • Connecting to a database instance
  • Creating tables, loading, inserting, data and querying data
  • Analyzing data with Python
Module 4 - Advance Excel ☰ 15 Topics

Excel 2007 & 2010, 2013, 2016 Quick Overview

  • Difference between Excel 2003, 2007 and 2010,2013,2016
  • Use of Excel, its boundaries & and features

Basic Formula

  • Formulae that Add / Subtract / Multiply / Divide
  • BODMAS/Formula Error Checking
  • The Sum Function

Absolute Referencing

  • Formulae that Add / Subtract / Multiply / Divide
  • BODMAS/Formula Error Checking
  • The Sum Function

PivotTables

  • Creating and formatting Simple PivotTables
  • Page Field in a PivotTable
  • Formatting a PivotTable
  • Creating / Modifying a PivotChart

Logical Functions

  • IFs and Nested IF Functions
  • Using AND/OR / NOT Functions

Statistical Functions

  • Using The SUMIF / COUNTIF Functions
  • Using The AVERAGE/COUNT/LARGER/SMALLER Functions

Pivot Tables - Advance

  • Adding new calculated Fields/Items
  • Changing the Summary Function
  • Consolidate Pivot table

LOOKUP Functions - Advance

  • MATCH with VLOOKUP Functions
  • INDEX & MATCH Functions
  • OFFSET / INDIRECT functions

Logical Functions - Advance

  • If Loop and Nested IF Loop Functions
  • Using IF/ISERROR Functions

Chart Data Techniques

  • The Chart Wizard
  • Chart Types
  • Adding Title / Legends / Labels
  • Printing Charts
  • Adding Data to a Chart
  • Formatting / Renaming/Deleting Data Series
  • Changing the Order of Data Series

Date/Time Functions

  • Using The Today
  • Now & Date Functions
  • Using The Datedif / Networkdays/Eomonth Functions
  • Using The Weeknum Functions
  • Using The Edate / Networkdays. Intl/Weekdays.Intl Functions

Text Functions Using

  • The Mid/Search / Left/Right Functions
  • Using The Trim / Clean / Upper/ Lower Functions
  • Using The Substitute / Text Functions
  • Using The Trim / Clean / Proper / Dollar Function

Validations

  • Input Messages/ Error Alerts / Drop-Down Lists
  • Conditional Formatting

Advanced Filters

  • Sorting by Top to Bottom / Left to Right Creating / Deleting Custom List
  • Sort by using the Custom List

Hyper / Data Linking

  • Hyperlinking data, within a sheet/workbook
  • Linking & Updating links between workbooks & application
Module 5 - TABLEAU ☰ 18 Topics
  • Introduction to Data Visualization
  • Tableau Introduction and Tableau Architecture
  • Exploring Data using Tableau
  • Working with Data using Tableau including Data Extraction and
  • Blending
  • Various Charts in Tableau (Basics to Advanced)
  • Sorting-Quick Sort, Sort from Axis, Legends, Axis, Sort by Fields
  • Filtering- Dimension Filters, Measure Filters, Date Filters, Tableau
  • Context Filters
  • Groups, Sets, and Combined Sets
  • Reference Lines, Bands, and Distribution
  • Parameters, Dynamic Parameters, and Actions
  • Forecasting-Exponential Smoothening Techniques
  • Clustering
  • Calculated Fields in Tableau, Quick Tables
  • Tableau Mapping Features
  • Tableau Dashboards, Dashboards Action, and Stories
Module 6 - POWER BI ☰ 5 Topics

Topics: Introduction To Power BI

  • Introduction to Power BI-Need, Imprtance
  • Power BI - Advantages and Scalable Options
  • Power BI Data Source Library and DW Files
  • Business Analyst Tools, MS Cloud Tools
  • Power BI Installation
  • Power BI Desktop - Instalation, Usage
  • Sample Reports and Visualization Controls
  • Understanding Desktop & Mobile Editions
  • Report Rendering Options and End User Access

Topics: Creating POWER BI Reports, Auto Filters

  • Report Design with Databse Tables
  • Report Visuals, Fields and UI Options
  • Reports with Multiple Pages and Advantages
  • Pages with Multiple Visualizations. Data Access
  • “GET DATA” Options and Report Fields, Filters
  • Report View Options: Full, Fit Page, Width Scale
  • Report Design using Databases & Queries

Topics: Report Visualization And Properties

  • Power BI Design: Canvas, Visualizations, and Fileds
  • Import Data Options with Power BI Model, Advantages
  • Data Fields and Filters with Visualizations
  • Visualization Filters, Page Filters, Report Filters
  • Creating Customised Tables with Power BI Editor
  • General Properties, Sizing, Dimensions, and Positions
  • Grid Properties (Vertical, Horizontal) and Styles
  • Page Level Filters and Report Level Filters
  • Visual-Level Filters and Format Options
  • Report Fields, Formats and Analytics

Topics: Chart And Map Report Properties

  • CHART Report Types and Properties
  • STACKED BAR CHART, STACKED COLUMN CHART
  • CLUSTERED BAR CHART, CLUSTERED COLUMN CHART
  • Field Properties
  • Formats: Legend, Axis, Data Labels, Plot Area
  • Data Labels: Visibility, Color and Display Units
  • Analytics: Constant Line, Position, Labels
  • Map Reports: Working with Map Reports
  • Hierarchies: Grouping Multiple Report Fields
  • Advanced Query Mode @ Connection Settings - Options

Topics: DAX EXPRESSIONS

  • Purpose of Data Analysis Expresssions (DAX)
  • Scope of Usage with DAX. Usabilty Options
  • DAX Context: Row Context and Filter Context
  • DAX Entities: Calculated Columns and Measures
  • DAX Data Types: Numeric, Boolean, Variant, Currency
  • Datetime Data Tye with DAX. Comparison with Excel
  • DAX Operators & Symbols. Usage. Operator Priority
  • Parenthesis, Comparison, Arthmetic, Text, Logic
  • DAX Functions and Types: Table Valued Functions
  • Filter, Aggregation and Time Intelligence Functions
  • Information Functions, Logical, Parent-Child Functions
  • Statistical and Text Functions. Formulas and Queries
  • Syntax Requirements with DAX. Differences with Excel
  • Naming Conventions and DAX Format Representation
  • Working with Special Characters in Table Names
  • Attribute / Column Scope with DAX-Examples
  • Measure / Column Scope with DAX-Examples
Internship Program

Select the best course are per your career need and enhance your skills with us

The KVCH Internship program is the core of our organization and the foundation for our ability to drive results for upcoming Talents. The excellent management pillar at KVCH focuses on providing advice on best and innovative management practices to enhance operational and career-driven performance.

KVCH offers a Task and project-based Internship Training Program with an assortment of courses given at Noida. The program length goes from 4 to 24 weeks, contingent upon the student's understudy needs and the investment of prepared accomplice trainers and experts to carry out the educational plan and direct the students all through the program. A cluster with a huge understudy mentor proportion typically incorporates around 50-60 members. Training certificates will be offered to fruitful endless supply of the program.

Free Career Counselling

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Data Analytics Course Tools and Technology Covered

  • PythonPython
  • ExcelExcel
  • TableauTableau
  • SQLSQL
  • NumpyNumpy
  • MySqlMySql
  • PandaPanda
  • ExcelAdvanced Excel
  • MatplotlibMatplotlib

Why Choose Data Analytics Course from KVCH

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Instructor-led Live Sessions

KVCH experts with in-depth knowledge create a focused learning environment by presenting learners with real-world industry problems and focusing on solutions.

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Live Training Sessions

During our certified training, seasoned instructors and industry experts conduct remote sessions to share their extensive knowledge with the learners.

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Flexible Curriculum

Professionals can obtain in-depth knowledge of cutting-edge digital marketing training by taking advantage of the availability of specialised certificates.

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Expert Support

Through a ticketing system that operates around the clock, our technical support staff is available to answer any questions you may have.

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Certification

Upon finishing the course and the assigned tasks, you will be awarded a certificate from KVCH, recognising your accomplishment as a data scientist.

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Assignments

There is a quiz at the end of each lesson that must be completed before the next lesson begins to test your understanding.

Sample Certificate

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Data Analytics Course Certification

Earn your certificate

On successful completion of the training, you are awarded with a Certificate in Data Analytics Course. The certificate is recognised by top companies and helps in career growth.

KVCH Data Analytics Course Certificate holders work at various companies like (TCS, Accenture, Infosys) etc.

Share your achievement

Once you get your certificate, you can share it on your online profiles like LinkedIn. Sharing your certification with your connections will help you acquire your dream job.

Testimonials & Reviews

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Deepak Mandal (Python Certification Training)
Tuesday Dec 5, 2023

KVCH's Python Certification Training courses have been a game-changer for me. The learning experience is top-notch, offering a good balance of theory and hands-on practice. The instructors are fantastic, explaining complex concepts clearly and engagingly. The course structure is well-designed, making it easy for students to grasp Python programming.

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JAY PRAKASH THAKUR (Software Testing Training)
Thursday, Sep 7, 2023

So, I finished the software testing thing at KVCH, and man, I am really really happy ya know? Like, seriously. The teachers there, they aree like pros or something. They teach you all this testing stuff, and it is not boring theory, it is like real things you do in a job.And they are patient too, even with my silly questions. The people who work there are nice too, they helped me find my way when I got lost on the first day. Now, I'm feeling like I could actually do this testing job. Like, for real. The stuff I learned is already helping me when I talk about things in interviews. So, yeah, if you wanna do software testing and not be bored to death, go to KVCH. Super recommended!

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Sachin Pal (Python Certification Training)
Thursday Nov 16, 2023

My experience with KVCH was quite well and I have learned a lot .. Equal attention was given to every individual which is the best part of KVCH and faculties.. So I would suggest if you're really interested in law you should try KVCH.. It helps u overcome your fears and helps you, In achieving your goals..

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Anurag kumar (Software Testing Training)
Tuesday Dec 5, 2023

KVCH's Python Certification Training courses have been a game-changer for me. The learning experience is top-notch, offering a good balance of theory and hands-on practice. The instructors are fantastic, explaining complex concepts clearly and engagingly. The course structure is well-designed, making it easy for students to grasp Python programming.

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Sandeep Kashyap (Machine Learning Training)
Friday, July 7, 2023

I did the machine learning course for two months. It was very helpful and the hours are flexible so it is great place for anyone who is looking to learn new skills even if you have a busy schedule.

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Shruti Mahendru (Digital Marketing Training)
Friday, Sep 8, 2023

I have enrolled for digital marketing master course and guys seriously I love the course, trainer is very experienced and i got paid internship after course completion. Must recommend best digital marketing institute in Noida.

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Shivam Chauhan (Java Training)
Monday, Aug 7, 2023

My 6-week Java internship at KVCH Noida was truly exceptional. The institute's commitment to providing hands-on learning and real-world projects allowed me to dive deep into Java programming. The mentors were incredibly supportive, always ready to guide and share their expertise. I am grateful for the valuable skills and knowledge I gained during my time here. Thank you, KVCH Noida, for a rewarding and transformative experience! 🙏📚"

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vishesh shukla (Java Training)
Friday, April 7, 2023

I have pursued the course of Complete Java from the institute. The Teaching staff and the management staff is such a great person. They help with every problems during the course and even after the completion of the course. The trainer is such a knowledge full skilled working industrialist having a great knowledge. Aalways helpful and great trainer too.

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Saumya Trivedi (6 Months Java Training)
Wednesday, Dec 7, 2022

I have pursued the course of Complete Java from the institute. The Teaching staff and the management staff is such a great person. They help with every problems during the course and even after the completion of the course. The trainer is such a knowledge full skilled working industrialist having a great knowledge. Aalways helpful and great trainer too.

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Amar Sagar Rawat (Digital Marketing Training)
Wednesday, Dec 7, 2022

I did my digital marketing training under the guidance of Mr.Ajay Sharma Sir. Thanks to him, he has in-depth knowledge and he has good experience in this field. I will recommend his classes. My overall experience till now has been very good with KVCH Noida.

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Sweta Padma Prusty (Web Development Training)
Friday, Dec 9, 2022

Just completed my 6 weeks training in Web Development using Python under the guidance of Saurabh Sir. The course was well structured and helped me build better concepts. My counselor - Aarti Ma'am was also very helpful right from the beginning till the end. Had a great time learning.

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Kissu Malakar (Android Training)
Friday, Dec 7, 2018

It was really a good experience with kvch. I have done the Android training from here and our instructor ( Ginni mam) was very helpful and friendly when ever we needed help regarding any query she was there to help us.

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Sumit Vaishanv (Digital Marketing Training)
Wednesday, Dec 7, 2022

Thank you so much KVCH today I have done my complete digital marketing training. I am so happy because you have best trainer of digital marketing & really your trainer have brilliant to industrial industry expert and thank you so much my trainer Ajay sir to provide me best training. now I would like say everyone which want to like make career in digital marketing then you should also join KVCH Because KVCH Training company is the best option for you. He provides best training with 100% placement. now thanks again KVCH for Digital marketing training.

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Himanshu Sharma (Data Science Training)
Wednesday, Dec 8, 2021

I just completed my Data Science training course from KVCH. It was a money well-spent experience. My trainer was Mr. Rohan. He was a very patient and skilled mentor. Always taught the topics in simple terms and made sure everyone understood. The course content provided to the students was very helpful. Thank you KVCH for this.

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sharmila sheoran (6 Weeks Industrial Training)
Saturday, Oct 8, 2022

Thank you kvch for providing me great learning, I have completed my 6 weeks industrial training under the guidance of saurabh sir. The course was well structured and help me to build better concepts. My teacher and counselor - Saurabh Srivastava Sir and Aarti mam both were very helpful and kind.

frequently asked questions

What is the role of data analytics?

Data analytics serves as the backbone of informed decision-making. By collecting, cleaning, and analyzing vast amounts of data, it uncovers hidden patterns, trends, and insights that would otherwise remain obscured. This information empowers businesses to optimize operations, identify new opportunities, and anticipate future challenges. From marketing campaigns to product development, data analytics provides the necessary intelligence to drive strategic growth and competitive advantage.

What data analytics actually do?

Designing and maintaining data systems and databases; this includes fixing coding errors and other data-related problems. Mining data from primary and secondary sources, then reorganizing the data in a format that can be easily read by either human or machine.

Can a fresher become a data analyst?

Absolutely, a fresher can become a data analyst. While having prior experience can be beneficial, many companies are actively seeking fresh graduates with strong analytical skills and a passion for data. The key is to focus on acquiring the necessary technical skills, such as programming languages (Python, R), data visualization tools (Tableau, Power BI), and SQL. Additionally, developing soft skills like problem-solving, critical thinking, and communication is crucial. By combining technical knowledge with strong analytical abilities, a fresher can successfully transition into a data analyst role.

Will I get job after data analytics?

Yes, there's a strong likelihood of finding a job after completing data analytics. The demand for data professionals is on the rise as businesses increasingly rely on data-driven decision-making. With the right skills, such as proficiency in tools like SQL, Python, and data visualization software, you can increase your chances of securing a role in various industries like finance, healthcare, technology, and marketing. However, it's important to continuously update your skills and knowledge to stay competitive in the evolving field of data analytics.

What is the package of data analysts?

As per Ambitionbox, dated 12/30/2022, the data analyst salary in India ranges from ₹ 1.8 Lakhs to ₹ 11.4 Lakhs, with an annual average wage of ₹ 4.2 Lakhs.

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