Certification in Data Analytics

Turn Data into Decisions – Get Certified in Data Analytics

Must-Have Tools for Industry Professionals

All About the Course

Program Highlights

 Comprehensive Curriculum
  • Covers the entire data analytics pipeline: Data collection, cleaning, analysis, and visualization.
  • Modules include:
    • Python Basics for Data Analytics
    • Data Manipulation with Pandas and NumPy
    • Data Visualization with Matplotlib, Seaborn, and Plotly
    • Exploratory Data Analysis (EDA)
    • Basics of Machine Learning for Analytics
Hands-On Learning
  • Real-world datasets for practice (e.g., sales, customer behavior, healthcare).
  • Practical projects such as:
    • Sales performance analysis.
    • Customer segmentation with clustering.
    • Trend analysis using time-series data.
Interactive Sessions
  • Live, instructor-led classes with industry experts.
  • Opportunity to ask questions and solve doubts in real-time.
Industry-Ready Tools and Libraries
  • Python Libraries: Pandas, NumPy, Matplotlib, Seaborn, Plotly.
  • SQL Integration: Learn to query databases and analyze data.
  • Optional Tools: Tableau/Power BI for advanced visualization.
Capstone Project
  • Work on a complete, end-to-end data analytics project:
    • Problem Statement: Analyze and visualize data to derive actionable insights.
    • Skills Applied: Data wrangling, visualization, EDA, and report presentation.
  • Showcase your project in your portfolio.
Certification
  • Earn an industry-recognized certificate upon course completion.
  • Highlight your expertise in Data Analytics with Python.

Tools Covered

Python

Numpy

Pandas

PySpark

Scipy

Power BI

Tableau

Excel

Excel

Matplotlib

Seaborn

MySQL

AWS

Ready to be a Data Analyst

Phone

+919417424290

Address

Amritsar,Punjab

Socials

Empowering you with practical skills, expert guidance, and a clear path to success.

Join the Future of IT Learning Today

Why Techply?

At Techply, we believe that skills, not just degrees, define success in today’s tech-driven world. Our courses are designed with a future-ready approach, combining industry-relevant content, hands-on projects, and personalized guidance from expert trainers. 

We emphasize practical learning over theoretical fluff, ensuring you gain real-world experience and confidence to excel in your career. 

With flexible learning options, certification, and career support, Techply is your trusted partner in building a strong foundation and advancing in the IT industry. 

Choose Techply to upskill and stay ahead in the competitive tech landscape!

 

Frequently Asked Questions

  • This course focuses on teaching practical skills for analyzing data, using tools and techniques like Python, Excel, SQL, and visualization tools such as Tableau or Power BI.

  • The course is ideal for beginners, professionals looking to upskill, or anyone interested in starting a career in data analytics.

Basic knowledge of computers and Microsoft Excel is helpful but not mandatory. We start with the fundamentals.

  • Fundamentals of Data Analytics
  • Data Cleaning and Preparation
  • Statistical Analysis
  • Data Visualization
  • Introduction to Machine Learning
  • Tools like SQL, Python, Excel, and Tableau
  • Yes, the course includes practical projects and real-world case studies to help you apply what you learn.

Yes, all necessary materials, including tutorials, datasets, and guides, will be provided.

The course typically runs for 20–24 weeks, depending on the chosen schedule.

Both options are available to cater to different learning preferences.

We keep small batch sizes to ensure personalized attention.

Absolutely! Our curriculum includes resume preparation, interview guidance, and job placement support.

  • Data Analyst
  • Business Intelligence Analyst
  • Reporting Analyst
  • Junior Data Scientist

The fee structure varies based on the batch type (weekday or weekend). Contact us for detailed information.

Yes, we offer flexible payment options for your convenience.

You can enroll by visiting our website at Techply or contacting us directly.