Python For Data Science Internship (CBLU)

Self-Paced

Fee:

₹499

Hrishabh Dev Saini | Data Science Trainer at School of Computing and Future Skills

₹499

4 - 6 Weeks

4 AISECT LEARN

Yes

Hinglish

1 Year

Yes

The Internship Course is designed to equip students with comprehensive knowledge and practical skills in Python programming, data science, and entrepreneurship. The course is divided into two main segments, Python for Data Science and Entrepreneurship Skills. Students will delve into essential programming concepts, data manipulation, analysis tools, and advanced data visualization techniques. Simultaneously, the entrepreneurship segment will guide students through the fundamentals of entrepreneurship, problem-solution fit canvas, and business model canvas, fostering a robust entrepreneurial mindset.

Objectives

The objectives and skills you will acquire through this transformative experience.

Understand and apply key concepts in data science and Python programming.

Manipulate and analyze data using Python's powerful libraries.

Create advanced data visualizations to communicate insights effectively.

Develop a strong foundation in entrepreneurship, including problem identification, solution formulation, and business model development.

Personalize and apply entrepreneurial tools like the problem-solution fit canvas and the business model canvas to real-world scenarios.

What Will You Learn

✔ Intro to Data Science

✔ Python Essentials

✔ Data Manipulation and Analysis Tools

✔ Data Analysis and Statistics

✔ Advanced Python – Pandas

✔ Data Visualization in Python

✔ Introduction to Entrepreneurship

✔ Problem-Solution Fit Canvas

✔ Business Model Canvas

✔ Value Proposition

✔ Customer Segments and Relationships

✔ Key Resources, Activities, and Partnerships

✔ Revenue Streams and Cost Structure

Data Science Fundamentals

Python Programming

Statistical Analysis

Advanced Data Handling

Data Visualization

Entrepreneurial Thinking

Business Model Development

SKILLS YOU WILL GAIN

Data Science FundamentalsPython ProgrammingStatistical AnalysisAdvanced Data HandlingData VisualizationEntrepreneurial ThinkingBusiness Model Development

Prepare for your career path

Curriculum

1 Intro What is Data Science?

2 Real Life Examples with Applications

3 Data Scientist Job roles and responsibilities

4 The Most Promising Job of the 21st Century

5 Machine Learning vs. Data Science vs. AI

1 Python Introduction

2 Follow this Installation Guide of Anaconda Navigator

3 Jupyter Notebook Interface

4 How to Open, Save and Rename a file

5 Variables and Data Types

6 Python Strings

7 Loops (Conditional)

8 Loops (Iterative while)

9 Loops (Iterative For)

10 Python Functions (Built in, Lambda, User defined functions)

11 Lists

12 Tuples

13 Sets

14 Dictionaries

1 Numpy Arrays in Python

2 Three Dimensional Arrays Indexing and slicing

3 Matrices

4 Pandas in Python

5 Importing CSV, Excel Files

6 Exporting CSV file

1 Basic Descriptive Statistics with Numpy and Applying Statistical Functions on Matrices

2 Linear Algebra with NumPy

3 Numpy Random Numbers

4 Probability Distributions using NumPy

5 Normality Test with SciPy

1 Pandas Data Frames

2 Querying Data in Pandas

3 Data Aggregation with Pandas Data Frames Aggregation with Pandas Data Frames

4 Concatenating and Appending Data Frames

5 Joining Data Frames

6 Statistics with Pandas Data Frames

7 Handling Missing Data

8 Pivot Tables

9 Plotting in 5.9 Plotting in PandasPandas

1 The Matplotlib Package

2 Basic Matplotlib Plots

3 Logarithmic Plots

4 Scatter Plots

5 Three Dimensional Plots

6 Lag Plots

7 Autocorrelation Plots

8 Plot.ly

1 Introduction to Entrepreneurship

2 Use of Problem Solution Fit Canvas

3 Basics of the problem solution fit canvas

4 Personalize The Canvas

5 What to write in "The Need-Problems" Box

6 What to write in Customer Segment Box

7 What to Write in "Triggers to Act Box

8 What to Write in "Emotions Before/After" box

9 What to write in "Available Solutions" Box

10 What to write in "Customer Limitations"

11 What to Write in "The Need-Behavior" Box

12 What to write in "Channels & Behavior" Box

13 What to Write in "Problem" box

14 What to Write in "Solutions" Box

15 Closing remarks

16 What to write in a "Problems That You Are Solving" box

17 Why Product Market Fit Canvas is Important

18 Basic No How of Product Market Fit

19 Let's personalize our Canvas

20 Step One of Product Market Fit Canva

21 Step two of Product Market Fit Canvas

22 Step Three of Product Market Fit Canvas

23 Step Four of Product Market Fit Canvas

25 Step Six of Product Market Fit Canvas

26 Step Seven of Product Market Fit Canvas

27 Step Eight of Key Matrices

28 Conclusion and Afterthoughts

39 Introduction of Business Model Canvas

30 Why Business Model Canvas is important ?

31 Personalization of Business Model Canvas

32 Value Proposition

33 Customer Segments

34 Customer Relationship

35 Channels

36 Key Resources

37 Key Partnership

38 Key Activities

39 Cost Stream

40 Use of Business Process Canvas

41 Revenue Stream

Instructor

Hrishabh Dev Saini

Professor Future Skills Academy

IT, Computer Science

We are pleased to introduce an accomplished Data Science Trainer with two years of expertise, having successfully trained over 1,000 students in Data Science and AI-ML. They deliver impactful corporate training for both government and private organizations, showcasing proficiency in Python, Machine Learning, Statistics, Deep Learning, DBMS (MySQL), and Power BI. Additionally, they excel as a content developer and course developer, crafting high-quality educational materials and curricula to empower learners.

4.0 587

700 Learners

Shareable Certificate

Other Details

Python, Entrepreneurship and Communication Skills Internship

Level

Basic

Credentials

Certificate

Fees

₹499

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Python For Data Science Internship (CBLU)

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