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PyNet Labs- Network Automation Specialists

Data Analyst Course with Placement

Master Data Analytics and Secure Your Dream Job! Our Data Analyst Course with Placement is designed to equip you with industry-ready skills, real-world projects, and 100% placement Guarantee.

Duration

3 Months

Next Batch

12 April 2025

book form
Data Analyst Course(#114)
Project
Projects
Tools
4+ Tools
Case Studies
Case Studies
Modules Covered
5+ Modules Covered
Hiring Partners
500+ Hiring Partners
Average Salary
Average Salary 5 LPA

Data Analyst Course Overview

Are you looking for a lucrative career in data analytics? The number of qualified data analysts is currently on the rise as companies shift towards more data-centric decision-making processes. To help you get a job, we crafted an analytics course that teaches in-demand skills, which is our Data Analyst Course with Placement.

As a fresher or a professional looking to switch to a different industry, this course is ideal for you. We ensure your success by providing you with step-by-step guidance, practical experience, and a 100% placement guarantee. On day one of the job, you will be ready as you will have acquired skills in data handling, statistical analysis, visualization techniques, and more.

From data wrangling to business intelligence tools and concepts, you will learn it all in our Data Analyst course. The best part is that our expert trainers incorporate real-life examples so that you can curate a portfolio that emphasizes your problem-solving abilities. Not to mention, our highly skilled placement department is there to assist you with acquiring your data analyst position.

Why Choose Our Data Analyst Course with Placement?

Selecting an appropriate training course for data analytics is vital to achieving your career goals. Let us explain why our data analyst program with a placement guarantee is unique:

  • 100% Placement Guarantee We provide students with employment opportunities through our complete job support, resume writing, and mock interviews.
  • Hands-on Learning Gain industry experience by working on projects and case studies.
  • Expert Training Learn from experienced professionals with years of experience in data analytics.
  • Comprehensive Curriculum Focus on the most important and widely used tools such as Python, SQL, Excel, Tableau, and Power BI.
  • Flexible Learning Options – Online, weekend, and self-paced batches available.
  • India’s Best Institute – PyNet Labs is considered the best institute for Data Analyst Course with job Guarantee.

Upcoming Batches

Data Analyst Course

DATE

TIME

SEATS LEFT

Batch 1
Weekends Batch
(Saturday & Sunday)
Starting from 17th May 2025

5 PM to 8 PM Indian Time
7: 30 AM to 10: 30 AM Eastern Time
11: 30 AM to 2: 30 PM UTC/ GMT00

12

Upcoming Batches

Data Analyst Course

DATE

Batch 1
Weekends Batch
(Saturday & Sunday)
Starting from 17th May 2025

TIME

5 PM to 8 PM Indian Time
7: 30 AM to 10: 30 AM Eastern Time
11: 30 AM to 2: 30 PM UTC/ GMT00

SEATS LEFT

12

Layer 23

Start Your Data Analytics Journey Today!

Data Analyst Course Fees - INR 95,000 INR 64,500/- Only
Easy EMI Options Available
(Complimentary English Classes)

What is Data Analysis?

Image illustrating two people working on Data Analysis

The understanding and analysis of collected data to give it an order in which it can be interpreted to extract accurate information is referred to as data analysis. This analysis is used for decision-making within an organization and for identifying patterns and solving problems. Usually, this involves the following processes:

  • Data Collection
  • Data Cleaning
  • Exploratory Data Analysis (EDA)
  • Statistical Analysis & Modeling
  • Data Visualization

Data analysts are essential in helping businesses improve operational efficiency, customer satisfaction, and profits. By learning data analysis, you open the door to exciting career opportunities in various industries.

Why You Should Learn Data Analytics?

Skills related to data analytics are among the most highly valued in the modern global job market. Here is why advancing your data analytics skills can profoundly transform your career for the better:

  • High Demand & Job Security – The importance of the data analysts role in corporate decision-making means there is immense potential for career progression.
  • Lucrative Salaries – As a data analyst, you are offered industry competitive compensation with freshly graduated analysts earning between INR 4-8 LPA and seasoned professionals above INR 15 LPA.
  • Vast Industries to Work With – Pursue a career in finance, healthcare, E-commerce, marketing, technology, etc.
  • No Prior Coding Experience Required – We have revamped the entire course for beginners, and even those lacking the technical background can learn data analytics with ease.
  • Global Career ScopeData analytics skills are needed everywhere, giving you the opportunity to work internationally.
A image showing a man and a girl with laptop showing in front of a screen showing data analysis

Data Analyst Course Syllabus

Module 1 (16 Hours): Introduction to Statistics

  • Mean
  • Outlier
  • Median
  • Mode
  • Skew
  • IQR
  • Sample variance
  • Standard Deviation
  • Z Score
  • Interpreting various graph formats:
    • Dot Plot,
    • Histograms,
    • Box and Whisker,
    • Scatter Plots.

Module 2 (16 Hours): Introduction to Python

  • Working with Jupyter Notebook
  • Python concepts:
    • Print function 
    • Variable 
    • Loops
      • If 
      • For 
      • While
  • Python Data Structures:
    • Array 
    • List 
    • Tuple 
    • Dictionary 

Module 3 (16 Hours): Analytics using Python

  • Data cleaning 
  • Data pre-processing 
  • NumPy and Pandas Python Libraries 
  • Data visualization using Bokeh and Plotly
  • Data Analytics with Python
  • Case studies
  • Project 

Module 4 (16 Hours): Power BI

  • Introduction to Power BI
  • Power BI Interface and Navigation
  • Connecting to Data Sources
  • Data Cleaning and Transformation
  • Advanced Transformations in Power Query
  • Data Modeling Fundamentals
  • DAX (Data Analysis Expressions) Basics
  • Advanced DAX Functions
  • Creating Basic Visuals
  • Advanced Visualizations
  • Mapping and Geospatial Visualizations
  • Custom Visuals and App Store
  • Designing Dashboards
  • Dashboard Interactivity
  • KPI Dashboards
  • Publishing and Sharing Reports
  • Collaborating in Power BI Service
  • Scheduled Refresh and Data Management
  • Advanced DAX and Calculations
  • Performance Optimization
  • Row-Level Security (RLS)
  • Case Studies

Module 5 (16 Hours): SQL

  • Introduction to Databases
  • What is SQL?
  • Installing MySQL 
  • Creating the Databases 
  • The SELECT Statement 
  • The SELECT Clause 
  • The WHERE Clause
  • The AND, OR, and NOT Operators 
  • The IN Operator
  • The BETWEEN Operator 
  • The LIKE Operator
  • The REGEXP Operator
  • The IS NULL Operator 
  • The ORDER BY Operator 
  • The LIMIT Operator 
  • Inner Joins 
  • Joining Across Databases 
  • Self Joins 
  • Joining Multiple Tables 
  • Compound Join Conditions 
  • Implicit Join Syntax 
  • Outer Joins 
  • Outer Join Between Multiple Tables 
  • Self Outer Joins 
  • The USING Clause 
  • Natural Joins 
  • Cross Joins 
  • Unions 
  • Column Attributes 
  • Inserting a Single Row 
  • Inserting Multiple Rows 
  • Inserting Hierarchical Rows 
  • Creating a Copy of a Table 
  • Updating a Single Row 
  • Updating Multiple Rows 
  • Using Subqueries in Updates 
  • Deleting Rows 
  • Restoring Databases 

Module 6 (16 Hours): Tableau

  • Introduction to Tableau
  • Connecting to Data Sources
  • Data Preparation Basics
  • Data Blending and Joins
  • Data Transformation with Tableau Prep
  • Basic Charts and Visualizations
  • Formatting Visuals
  • Tableau’s Show Me Feature
  • Advanced Charts and Visualizations
  • Calculated Fields and Table Calculations
  • Using Filters and Sets
  • Introduction to Tableau Maps
  • Advanced Mapping Techniques
  • Spatial Calculations and Custom Territories
  • Dashboard Design
  • Adding Interactivity
  • Designing Data Stories
  • Publishing and Sharing Dashboards
  • Tableau Server and Tableau Online
  • Exporting and Presentation
  • Advanced Calculations and LOD Expressions
  • Performance Optimization
  • Tableau Extensions and APIs
  • Case Studies

Languages and Tools You will Master

Python Logo
NumPY Logo
Pandas Logo
SQL Logo
Matplotlib Logo
PowerBI Logo

Who is Eligible for This Course?

Our Data Analyst Course with Placement for Freshers and Professionals is open to:

Data Analyst Course Requirements

Our course is beginner-friendly and requires no programming experience. Here are a few things to have:

Why Choose PyNet Labs?

20+ industry relevant projects

Problem Solving Sessions

Instructor-Led
Live Training

Placement Assistance

Lifetime Access to training recordings

Guaranteed to Run Batches

Post-training Support

Flexible Batch-Timings

Interview Preparation

Career Counselling by Experts

On-Demand classes available

Free Demo Class

What Our Students Say About Us?

Job Placement Support – Get Hired by Top Companies

With our Data Analytics Training with Placement Service, we prepare our students for success in their ideal roles. This includes:

What Makes Our Data Analyst Course Different?

Our Data Analyst course with Placement goes beyond standard training programs by offering unique advantages:

Industry Recognized Data Analyst Certification

Worldwide Recognition

Get a certification that is recognized worldwide and can open doors to various new opportunities.

Lifetime Validity

Your Certification will be valid
for a lifetime.

Data Analyst demo certification by PyNet Labs

Our Students Placed At

Alumni Highlights

Data Analyst Highlights

Still have any Doubts?

Frequently Asked Questions

Q1. What is the average salary after completing the Data Analyst course?

After completing our Data Analyst Course with Placement Guarantee, you can expect start salary range from INR 4 to 8 LPA if you are a fresher. However, with experience, you can easily expect INR 15 LPA or more.

Q2. Do I need prior coding knowledge?

No, you don’t need prior coding knowledge to start this course. We start from scratch and provide step-to-step guidance to help you learn all necessary technologies with ease.

Q3. Is there a placement guarantee?

Yes, we offer 100% placement guarantee with our Data Analytics course. You will get job referrals, resume building, and interview preparation services once you are done with your course to make you job ready.

Q4. What industries hire data analysts?

Data analysts are highly sought out in many industries such as finance, healthcare, retail, e-commerce, marketing, and IT.

Q5. Can I learn data analytics in 3 months?

Yes! It is possible to learn Data Analytics in just 3 months with a structured curriculum and dedicated effort. Our Data Analytics training covers Python, SQL, Excel, Tableau, Power BI, and real-world projects to help you become industry ready.

Q6. What do you need to study to become a data analyst?

To become a data analyst, you should study the following topics:

  • Data Analysis Fundamentals (Statistics, Data Cleaning, Data Visualization)
  • Programming Languages (Python, SQL)
  • Data Visualization Tools (Tableau, Power BI)
  • Excel & Advanced Analytics

Our course covers all these essential topics in a structured way.

Q7. What is the qualification for a data analyst?

There are no mandatory requirements to become a data analyst. However, having a degree in Computer Science, Statistics, or related fields can be helpful. Our course is designed for freshers, working professionals, and career switchers, making data analytics accessible to anyone.

Q8. Is data analytics easy to study?

Yes! Data Analytics is easy to study with the right guidance and practice. Our beginner-friendly course makes sure you master key concepts step by step, even if you’re from a non-technical background.

Q9. What is the cost of a data analyst course?

The Course fees for Data Analyst course vary depending on duration, mode, and additional certifications. You can get in touch with us for the latest pricing details and available discounts.

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