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Data Analyst Training

Start your data analytics course with our targeted online training. Our program covers everything you need to succeed. 


  • Comprehensive Curriculum
  • Industry-Relevant Skills
  • 100% Online Training
  • Placement Assistance
  • Flexible Scheduling


Ready to dive into data, Join our data analyst course with placement now!

Become a Certified Data Analyst in next 8 Weeks

Join today

Comprehensive Data Analytics Programs

Programming with Python and R

Data Visualisation Techniques

Data Visualisation Techniques

 Gain hands-on experience with essential programming languages for data analysis. 

Data Visualisation Techniques

Data Visualisation Techniques

Data Visualisation Techniques

 Learn to transform raw data into compelling visual stories that can influence business decisions. 

Statistical Analysis

Data Visualisation Techniques

Statistical Analysis

 Master statistical methods that underpin high-quality data analysis, including hypothesis testing and regression analysis. 

Database Management

Data Ethics and Privacy

Statistical Analysis

 Understand database design and management to efficiently store, query, and retrieve data. 

Big Data Technologies

Data Ethics and Privacy

Data Ethics and Privacy

 Explore tools and technologies used in handling big data such as Hadoop and Spark. 

Data Ethics and Privacy

Data Ethics and Privacy

Data Ethics and Privacy

 Learn about the ethical considerations and legal requirements surrounding data privacy and protection. 

About Us

Training in Data: Data Analyst Course With Placement

Our mission is to provide accessible, high-quality training that empowers professionals with the skills to handle data responsibly and effectively.


  • Our Approach: Hands-on learning with real-world applications.
  • Our Faculty: Experienced instructors from leading industries.
  • Our Success: Over 10,000 graduates are employed by data analyst training and placement.
  • Our Commitment: Continuous learning support and post-training placement assistance.

WHAT YOU’LL LEARN?

Data Analyst Concept & Implementation

 In this course, participants will gain a thorough understanding of key data analysis principles and practical skills. The curriculum covers data collection, cleaning, and preprocessing, emphasizing statistical methods and tools like Python and SQL for analysis and visualization. The course focuses on real-world applications, enabling learners to confidently handle diverse datasets. You will be equipped with the knowledge to make informed decisions and solve complex problems using data-driven approaches.

Languages: Python and SQL

 In the Language: Python and SQL course, participants will master essential skills in Python for data manipulation and analysis, along with a solid foundation in SQL for effective management and querying of relational databases. The course provides a practical and concise approach, preparing learners for various roles in data analysis, software development, and database management. 

CV and Interview Preparation

In the CV and Interview Preparation course, participants will learn to enhance their job market presence by creating impactful resumes, cover letters, and LinkedIn profiles. The curriculum also provides practical strategies for effective networking and interview techniques, enabling participants to confidently navigate the job application process and excel in interviews. 

Book a Clarity Call With US

Data Analyst Course Overview

Module 1: Introduction

Introduction to Data Analytics & Types of Roles, Overview of Data Analytics, Importance in various industries


Types of Roles in Data Analytics

● Data Scientist

● Business Intelligence Analyst

● Data Engineer


Module 2: SQL

Introduction to SQL- DDL, JOIN, AGGREGATION, and UNION, Basics of SQL, Data Definition Language (DDL), JOIN Operations, Aggregation Functions, UNION and UNION ALL 


Module 3: Commands

Explanation of Commands, Syntax, Version Control, Branching, Pull Request, Software Collaboration Best Practices in Commercial, Understanding Command Line Interface (CLI)


● Syntax in Coding

● Version Control with Git

● Branching and Pull Requests

● Software Collaboration Best Practices

Module 4: Introduction to Python Environment

  • Setting up Python Environment
  • Arithmetic Operations in Python
  • Variables and Assignments with Strings, Lists, Sets, Dictionaries, Tuples
  • Operators, Loops, and Functions


Module 5: Introduction to Pandas Library

  • Explaining Numpy, JSON, CSV, XLSX & YAML; Introduction to Pandas, Numpy for Numerical Operations, Working with JSON, CSV, XLSX, YAML
  • Introduction to Pandas Library


Module 6: AWS

  • Introduction to AWS, Azure, GCP
  • Overview of Cloud Computing
  • Introduction to AWS (Amazon Web Services)
  • Introduction to Azure (Microsoft Cloud)
  • Introduction to GCP (Google Cloud Platform)


Module 7: Explanation of Concepts in Detail

  • Deep Dive into Key Concepts
  • Practical Examples and Use Cases


Module 8: Brief Explanation of Different Domain Experiences

  • Data Analytics in Banking
  • Data Analytics in Telecom
  • Data Analytics in Retail
  • Data Analytics in Energy Sustainability


Module 9: Explanation of Data Architecture Principles and Cloud Technologies Principles

  • Understanding Data Architecture
  • Cloud Technologies and Principles


Module 10: Introduction to Project Work, CV, and Interview Tips

  • Preparing for Project Work
  • Crafting an Effective CV
  • Interview Tips and Strategies

CUSTOMER TESTIMONIAL

"The data analyst training program at Training in Data transformed my career. The hands-on projects and dedicated faculty ensured I was job-ready." — Jane Doe, Graduate

FREQUENTLY ASKED QUESTIONS

Enrolling in this course requires a basic understanding of statistics and familiarity with fundamental programming concepts. Prior exposure to data analysis tools or environments can be beneficial but is not mandatory. This foundational knowledge will help you grasp the course content more effectively.


The data analyst training spans approximately 12 weeks, requiring a commitment of about 10-15 hours per week. This includes interactive lessons, hands-on projects, and weekly assignments designed to reinforce your learning.


Yes, this course is designed with working professionals in mind. It is delivered online with flexible scheduling options, allowing you to balance your studies with your professional and personal commitments. We recommend setting aside specific times for study each week to manage your workload effectively.


Upon completing the course, you will receive a certification that acknowledges your expertise in data analysis. Industry professionals recognize this certification and will significantly enhance your employability and credibility in the field.


Yes, the course offers numerous networking opportunities. You will have access to guest lectures, webinars, and online forums where you can connect with peers, industry experts, and potential employers. Additionally, we host annual industry events that provide further opportunities for professional networking.


This course is ideal for IT professionals, career switchers, and those looking to restart their careers in the field of data analysis. Whether you're looking to enhance your current skills or embark on a new career path, this course offers the necessary training and support to help you achieve your goals.


Meet your tutor

 I'm Kumar, a seasoned data analyst with 14 years of experience. My goal is to equip you with skills in data analysis, covering everything from fundamentals to advanced topics like machine learning. Expect hands-on, practical learning with real-world examples. Let's embark on this transformative journey together! 

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