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Programming Basics and Data Analytics with Python Course Details
Programming Basics and Data Analytics with Python is a complete course offered by GoLogica that introduces participants to the fundamentals of programming and data analytics using Python. This course aims to train learners with the necessary skills to manipulate, analyze, and visualize data effectively.
Programming Basics and Data Analytics with Python online Training course begins by introducing students to the fundamentals of programming with Python. Participants will learn about the basics of Python programming, including variables, data types, operators, control structures, functions and modules. They will also learn how to write and debug Python code, as well as how to use popular Python libraries and tools. This foundation in programming will serve as the basis for the rest of the course, which focuses on data analytics.
With the programming basics under their belt, Participants will move on to learning the basics of data analytics with Python. You will learn how to work with popular data analytics libraries such as Pandas and NumPy and how to use these libraries to manipulate and analyze datasets. They will also learn how to visualize data using popular libraries such as Matplotlib and Seaborn and how to use statistical techniques to draw insights from data.
In this course, Participants will work on a variety of projects that demonstrate their skills in programming and data analytics. These projects will give students hands on experience working with real-world datasets and applying the concepts they have learned to solve real-world problems. By the end of the course, students will be able to apply their skills to a variety of industries and applications, including finance, healthcare, marketing, and more.
After completion of the course, participates will have a comprehensive understanding of programming basics and data analytics with Python. They will be able to write efficient and effective Python code, analyze and visualize large datasets, build predictive models using machine learning algorithms, and communicate insights to stakeholders. With this skillset, students will be well-prepared for careers in a variety of industries that rely on data analysis and visualization.
Salary Trends:
According to Glassdoor, The average salary of a Python Data Analysis professional typically ranges from $58k to $86k PA. It’s depending on factors such as experience, location, and specific job responsibilities.
Want To Learn More?
Programming Basics and Data Analytics with Python Curriculum
Leveraging Python for advanced data analytics
Setting up for Python programming
Data structures in Python
Introduction to Pandas
Data structures in Pandas
Advanced data operations in Pandas
Introduction to data processing using Python
Data ingestion using Python
Data wrangling using Python
Reshaping data sets using Python
Fundamentals of data visualisation
Customising and enhancing charts in Seaborn
Programming Basics and Data Analytics with Python Certification
The GoLogica certification is widely acknowledged, enhancing the credibility of your resume and opening doors to high-level positions in leading multinational corporations globally.
At the end of this course, you will receive a course completion certificate which certifies that you have successfully completed GoLogica training in Programming Basics and Data Analytics with Python technology.
You will get certified in Programming Basics and Data Analytics with Python by clearing the online examination with a minimum score of 70%.
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Programming Basics and Data Analytics with Python Objectives
This course offers an engaging learning experience in Python programming fundamentals and data analytics. Here's a breakdown of what you can expect:
• Python Introduction: Learn the basics of the Python programming language, including writing and understanding Python code.
• Python Structures: Understand the rules and structure of Python programming, such as syntax, to create active and error-free code.
• Control Structures: Understand how to control the flow of a program using loops and conditional statements in Python.
• Python Functions: Analyze the concept of functions, allowing you to organize and reshape the code for better programming.
• Data and Structures: Learn about different types of data and structures in Python, such as lists, dictionaries, and tuples.
• Data Manipulation by Pandas: Explore the powerful Pandas library for data manipulation in Python.
• Data Visualization with Matplotlib: Gain skills in creating visualizations of data using Matplotlib.
• Introduction to Data Analytics: Understand the fundamentals of data analytics and its application for gaining insights from data.
• Real-world Data Projects: Apply your skills to practical projects that simulate real-world setups in programming and data analytics.
• Develop In-Demand Skills: Acquire skills in demand across various industries, preparing for career growth in programming and data analytics with Python.
By mastering these skills, you'll be well-prepared to tackle real-world programming challenges and approach data analytics with confidence, positioning yourself as an expert Python programmer and data analyst.
The Programming Basics and Data Analytics with Python training course is suitable for beginners in programming and anyone interested in learning Python for data analysis, including students, professionals, and enthusiasts.
Prerequisites for the Programming Basics and Data Analytics with Python certification training course include basic computer literacy, familiarity with operating systems, and a willingness to learn programming concepts and data analysis techniques.
Enroll in the Programming Basics and Data Analytics with Python course to gain foundational programming skills, learn data analysis techniques, and enhance employability in various fields such as data science, business analytics, and software development.
Basics of Python for data analytics include data types, data structures (lists, tuples, dictionaries), control flow (loops, conditional statements), functions, libraries (Pandas, Numpy), and file handling for data manipulation and analysis.
Career opportunities for professionals trained in Programming Basics and Data Analytics with Python include data analyst, business analyst, data scientist, software developer, research analyst, and various roles in industries such as finance, healthcare, marketing, and technology.
Yes, Programming Basics and Data Analytics with Python is a successful choice for a career due to its high demand in various industries, lucrative salary prospects, and opportunities for advancement in fields like data science, business analytics, and software development.
Programming Basics and Data Analytics with Python can be relatively easy to learn for beginners due to its clear syntax, extensive documentation, and wealth of online resources. However, mastery requires consistent practice and dedication.
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Visit GoLogica website, locate the 'Certificates' section, follow the instructions to verify your course completion by completing the exam and Get more than 70% marks. And download your certificate.
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GoLogica have a 10+ year’s good track record in the training market. However, it was founded in 2013.
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Self-paced learning offers flexibility, personalized progress, and the ability to review materials at your own convenience.
Live online training offers real-time interaction, immediate feedback, and networking opportunities, which self-paced learning lacks.
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Programming Basics and Data Analytics with Python rated
(5.0 / 5) based on 1 reviews.
jay.prince
The instructors at GoLogica demonstrated a remarkable blend of expertise in programming fundamentals and data analytics using Python. Their clear explanations and hands-on approach made the learning process enjoyable and accessible, even for someone
