Data Science with Python Training Objectives
- The Data Science with Python Certification is a program that provides individuals with the skills and knowledge required to effectively use Python for data analysis, machine learning, and data visualization. It typically covers topics such as data manipulation, data exploration, statistical analysis, machine learning algorithms, and data visualization techniques.
- Increasing demand: Data science skills, including proficiency in Python, are in high demand across industries as organizations seek to harness the power of data for decision-making.
- Versatility: Python is a versatile programming language that offers a wide range of libraries and tools specifically designed for data science tasks.
- Data analysis capabilities: Python's libraries such as Pandas and NumPy provide powerful tools for data manipulation, exploration, and analysis.
- Machine learning support: Python's libraries like Scikit-learn and TensorFlow offer robust frameworks for implementing machine learning models and algorithms.
- Python programming fundamentals, including data types, variables, loops, and functions.
- Data manipulation and analysis using libraries such as Pandas and NumPy.
- Statistical analysis and hypothesis testing techniques.
- Machine learning algorithms and techniques, such as regression, classification, clustering, and dimensionality reduction.
- Yes, the Data Science with Python course is highly relevant for the future. Data-driven decision-making and analytics are becoming increasingly crucial in various industries. Python's versatility, combined with its extensive libraries for data analysis and machine learning, positions it as a powerful tool for future data scientists. As businesses continue to generate large volumes of data, professionals with expertise in Data Science with Python will be in high demand to extract insights and drive data-driven strategies.
- Data scientist.
- Data analyst.
- Machine learning engineer.
- Data engineer.
- Business analyst.
- Acquiring in-demand skills.
- Versatility and flexibility.
- Real-world applications.
- Networking opportunities.
- Yes, Data Science with Python is considered a remarkable course due to its practical relevance and industry demand. Python, with its extensive libraries and tools, has become one of the most popular languages for data science tasks. The course equips learners with the necessary skills to tackle real-world data challenges, apply machine learning algorithms, and visualize data effectively.
- The salary of Data Science with Python professionals can vary based on factors such as experience, location, industry, and job role. However, data science professionals generally receive competitive compensation due to the high demand for their skills. According to industry reports, the average salary of a Data Scientist with Python skills ranges from $90,000 to $150,000 per year, depending on experience and location.
- Providing a comprehensive understanding of Python programming for data science applications.
- Introducing essential libraries and tools for data manipulation, analysis, and visualization.
- Developing proficiency in statistical analysis techniques for data exploration and hypothesis testing.
- Equipping learners with knowledge and practical skills in machine learning algorithms and techniques.
- After completing a Data Science with Python course, you can expect significant career growth opportunities. As the demand for data scientists and professionals skilled in Python continues to rise, there are ample opportunities for advancement and higher-paying roles. The skills acquired during the course, such as data analysis, machine learning, and data visualization, can position you for promotions, leadership positions, and increased responsibilities within organizations.
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Top Companies Placement
A professional application developer is an irreproachable source code creator of the software. Technoscientifically, application developers involves in the end-to-end software development life cycle. They create, test, deploy, and help to upgrade software as per the requirement of clients. They are often rewarded with substantial pay raises as shown below.
- Designation
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Annual SalaryHiring Companies
Skills You Will Gain
- Big Data, HDFS
- YARN, Spark
- MapReduce
- PIG, HIVE
- Mahout, Spark MLLib
- Solar, Lucene
- Zookeeper
Online Classroom Batches Preferred
No Interest Financing start at ₹ 5000 / month
Corporate Training
- Customized Learning
- Enterprise Grade Learning Management System (LMS)
- 24x7 Support
- Enterprise Grade Reporting
Data Science with Python Course Curriculam
Trainers Profile
Trainers are certified professionals with 11+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from Data Science with Python Certification Course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
Pre-requisites
Following is sufficient for basics of Data Science with Python technologies :
Syllabus of Data Science with Python Online Course Download syllabus
- What is Data Science?
- What does data science involves?
- Life cycle of Data Science
- Tools of Data Science
- Introduction to Python
- Introduction to python
- Software installation
- Basic operators and functions
- Data types with python
- Conditional statement
- Introduction to Numpy
- Introduction to numpy arrays
- How to Access Array Elements?
- Indexing, Slicing, Iteration, Indexing with Boolean Arrays
- Measures of Central Tendency
- Measures of Dispersion
- Descriptive Statistics
- Probability Basics
- Marginal Probability
- Bayes Theorem
- Probability Distributions
- Hypothesis Testing
- Understand Time Series Data
- Visualizing Time Series Components
- Exponential Smoothing
- Holt's Model
- Holt-Winter's Model
- Introduction to Pandas
- Defining data structures
- Understanding Dataframes
- Importing Data from various sources
- Missing values
- Data Operations
- File read operations
- Descriptive statistics
- Create plots like scatter plot
- Histogram, Bar graph, Pie chart using Matplotlib Grids
- Machine learning Process Flow
- Machine learning categories
- Feature selection and extraction in machine learning
- Supervised learning algorithms
- Simple linear Regression
- Applications of linear regression
- Building regression models using python
- Process to implement linear regression
- Coefficient of determination (R- Squared)
- Accuracy of model
- Multiple linear Regression
- Parsing HTML and XML
- Navigating the document
- Handling CSV files
- Parsing JSON into Python
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Phone (For Voice Call):
+91 89258 75257
WhatsApp (For Call & Chat):
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Industry Projects
Career Support
Our Hiring Partner
Request more informations
Phone (For Voice Call):
+91 89258 75257
WhatsApp (For Call & Chat):
+91 89258 75257
Exam & Certification
- Participate and Complete One batch of Data Science with Python Training Course
- Successful completion and evaluation of any one of the given projects
- Complete 85% of the Data Science with Python course
- Successful completion and evaluation of any one of the given projects
- Oracle Certified Associate (OCA)
- Oracle Certified Professional (OCP)
- Oracle Certified Expert (OCE)
- Oracle Certified Master (OCM)
- Learn About the Certification Paths.
- Write Code Daily This will help you develop Coding Reading and Writing ability.
- Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
- Join LearnoVita Online Training Course That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
- Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.

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Data Science with Python Course FAQ's
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- LearnoVita is offering you the most updated, relevant, and high-value real-world projects as part of the training program.
- All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
- You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc.
- After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
- We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities.
- View the class presentation and recordings that are available for online viewing.
- You can attend the missed session, in any other live batch.

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