Test Course

Test Course

5.00
(2 Ratings)

Test Course

About Course

The Test Course at Placement Point Solutions is designed to evaluate and strengthen your job-ready skills through practical assessments and real-world scenarios. This course helps learners understand industry expectations, improve performance, and gain confidence before applying for interviews. With expert guidance and structured testing, you can identify skill gaps and prepare effectively for career opportunities.

What Will You Learn?

  • By the end of this course, you will be able to:
  • Understand the complete Data Science workflow from data collection to insights
  • Use Python programming for data analysis and manipulation
  • Work with NumPy and Pandas for efficient data handling
  • Perform Data Cleaning and Data Preprocessing on real datasets
  • Apply Exploratory Data Analysis (EDA) techniques using Matplotlib and Seaborn
  • Understand Statistics and Probability concepts used in Data Science
  • Learn Machine Learning basics, including supervised and unsupervised algorithms
  • Train, test, and evaluate Machine Learning models
  • Visualize data and create meaningful business insights
  • Work on real-world projects and case studies
  • Build confidence for interviews and Data Science roles

Course Content

Introduction to Data Science
Is module me students Data Science ki basic understanding develop karenge. Data Scientist ka role, industry use-cases, aur real-world applications samjhaaye jaate hain. Students ko data-driven decision making ka importance samajh aata hai.

Python for Data Science
Is topic me Python programming language sikhayi jaati hai, jo Data Science ka core tool hai. Variables, loops, functions, NumPy aur Pandas libraries ke saath practical data handling cover ki jaati hai.

Data Collection & Data Cleaning
Students seekhenge kaise raw data collect kiya jaata hai aur kaise missing values, duplicates, aur errors remove kiye jaate hain. Real datasets ke saath data preprocessing techniques apply karayi jaati hain.

Exploratory Data Analysis (EDA)
Is module me data ko visualize aur analyze karna sikhaya jaata hai. Matplotlib, Seaborn aur statistical methods ka use karke patterns, trends aur insights discover kiye jaate hain.

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Student Ratings & Reviews

5.0
Total 2 Ratings
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RY
2 hours ago
good course
Good Informative Course

What is Data Science?

Data Science is the field that combines statistics, programming, and domain knowledge to collect, analyze, and interpret data. It helps organizations make data-driven decisions using insights from structured and unstructured data.

Do I need a programming background to enroll in this course?

No prior programming experience is required. The course starts with the basics and gradually introduces programming concepts using beginner-friendly languages like Python.

What tools and technologies will I learn?

You will learn popular tools such as Python, Pandas, NumPy, Matplotlib, SQL, and an introduction to machine learning libraries like Scikit-learn.

Is statistics necessary for Data Science?

Yes, basic statistics is important. This course covers essential statistical concepts such as probability, mean, variance, and hypothesis testing in a simple and practical way.

Does the course include real-world projects?

Yes. The course includes industry-relevant projects, such as:

  • Sales and customer data analysis

  • Predictive modeling

  • Data visualization dashboards

  • Case studies using real datasets

What career opportunities are available after completing this course?

After completing the course, you can apply for roles such as:

  • Data Scientist

  • Data Analyst

  • Machine Learning Engineer

  • Business Analyst

  • Entry-Level AI Engineer

Student Reviews

What our students say about us

The AI & ML course focuses on job-ready skills. Real-world projects, interview preparation, and expert mentorship helped me get placed

Neha Singh

Placement Point Solutions helped me build job-ready skills. The course content is practical and easy to understand.

Amit Sharma

Excellent online learning experience with real-world projects and strong placement guidance.

Neha Singh

The mentors are very supportive and the training boosted my confidence for interviews.

Rahul Verma

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