Online Classroom Batches Preferred
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekdays Regular
(Class 1Hr - 1:30Hrs) / Per Session
Weekend Regular
(Class 3hr - 3:30Hrs) / Per Session
Weekend Fasttrack
(Class 4:30Hr - 5:00Hrs) / Per Session
No Interest Financing start at ₹ 5000 / month
Skills You Will Gain
- Big Data, HDFS
- YARN, Spark
- MapReduce
- PIG, HIVE
- Mahout, Spark MLLib
- Solar, Lucene
- Zookeeper
Data Science with Python Course Key Features 100% Money Back Guarantee
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5 Weeks Training
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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.
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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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Data Science with Python Training Objectives
- You can acquire an increased awareness of the fundamentals of data science using the Python programming language by registering in the Data Science with Python certification course. The topics that are discussed cover data mining, machine learning, natural language processing, and data analysis. By the end of the course, you will have created a variety of models and be able to apply your data science capabilities. You can put what you've learnt into practise through the practical assignments provided throughout the course. In addition, you are going to acquire the abilities that are required for achievement as a data scientist.
- Gain technical expertise and the ability to develop data driven solutions.
- Become a more effective problem solver.
- Build valuable, transferable skills for your career.
- Create and develop data products.
- A strong background in Mathematics, particularly in Algebra, Statistics, and Calculus.
- A basic understanding of Computer Science Fundamentals (algorithms, data structures)
- Programming experience in at least one scripting or programming language (such as Python, Java, R, C++)
- Experience in Visualization tools such as Tableau, ggplot2, or Plotly.
- Exposure to Machine Learning concepts and algorithms.
- Data Science with Python certification opens up a variety of opportunities for graduates from entry-level positions up to senior-level data scientist roles. Those with this certification may find jobs in government agencies, IT departments, health care organizations, research and development departments as well as finance and business intelligence departments. Some of the job roles that may be accessible range from Machine Learning Engineer, Data Analyst, Data Scientist, Business Analyst, Data Architect, Data Engineer and more.
- The Data Science with Python certification course provides a comprehensive overview of the Python programming language, data analysis techniques, and data science tools. You can expect to gain hands-on experience with Python, as well as learn how to work with a range of machine learning algorithms and data analysis techniques. You will also learn about pandas, matplotlib, and other data science libraries.
- Problem-solving ability.
- Analytic and technical knowledge.
- Python programming.
- Machine learning algorithms.
- Data visualization and analysis.
- Yes, this course is designed to help beginners learn Data Science with Python from scratch. It will cover the fundamentals of Python programming, data visualization, machine learning, and more. It also provides project-based learning opportunities to help put the learning into practice.
- Yes, upon completion of the Data Science with Python Course, you will receive a certification to demonstrate your skills and knowledge of data science fundamentals. This certification is industry-recognized and respected by employers globally, and can help validate your abilities and highlight your expertise.
- Yes, data science with Python is in high demand. Python is one of the most popular programming languages in the world due to its robust features, libraries, and frameworks. It is used across many industries, including finance, healthcare, hospitality, media, and education. Its popularity makes it an ideal language for data science, as data scientists can easily access the best tools and libraries to help them create insights.
- Efficiency: Python is a highly efficient programming language which helps to develop applications in less time.
- Easy to learn: Python is an accessible language for beginners, meaning that anyone can learn the language without any prior programming knowledge.
- Visualizations: Python allows for easy data visualizations, allowing users to identify patterns in their data.
- Machine learning: Python's library of libraries enables users to employ sophisticated algorithms to their data sets to uncover relationships and make predictions.
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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Pranav Srinivas
Software Testing, CapgeminiData 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.