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(Class 1Hr - 1:30Hrs) / Per Session
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Overview of Data Science with Python Online Training in Kolkata
Learnovita's Data Science with Python training course helps you become a proficient expert of the Python computer language by teaching you the fundamentals of the language. You might gain expertise in data analysis, machine learning, visualization, online scraping, and natural language processing through this Python for Data Science training. You will be knowledgeable about the basic Python-based Data Science tools once you have finished this training. Python is a computer language that can be used to study data science and then apply it to real-world companies like e-commerce and retail.
Learn and advance your career with our Data Science with Python Training in Kolkata :
- This course enables you to learn about the complexities of data interpretation, become an expert in cutting-edge technologies such as machine learning, and better your programming skills in order to become a Data Scientist and advance your job in Data Science.
- You'll learn the fundamentals of data science, such as exploratory data science, statistics, hypothesis testing, regression categorization modeling techniques, data visualization, and machine learning algorithms.
- Data Science with Python Training helps to gain the expertise required to use the Python Pandas module effectively for data science, data visualization, machine learning, and complicated numerical analysis.
- With our custom-tailored curriculum, you will learn essential skills from industry experts. Work on projects that will help you get a job.
- You can demand the greatest compensation in the most prestigious firms since certification sets you apart from your non-certified competitors.
- We have an excellent Placement Support team that works with participants to find the best fit for their needs in the IT industry.
Skills You Will Gain
- Big Data, HDFS
- YARN, Spark
- PIG, HIVE
- Mahout, Spark MLLib
- Solar, Lucene
Data Science with Python Course Key Features 100% Money Back Guarantee
5 Weeks TrainingFor Become a Expert
Certificate of TrainingFrom Industry Data Science with Python Experts
Beginner FriendlyNo Prior Knowledge Required
Build 3+ ProjectsFor Hands-on Practices
Lifetime AccessTo Self-placed Learning
Placement AssistanceTo Build Your Career
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.
Annual SalaryHiring Companies
Data Science with Python Course Curriculam
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.
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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Analyzing and Visualizing Financial Data
In this Analyzing and Visualizing Financial Data project is used to develop predictive models and generate forecasts.
Text Analysis of Twitter Data Explanation
This type of project can be used to draw meaningful insights into customer sentiment, public opinion, and other trends.
Exploratory Data Analysis of Census Data
This project by analyzing the data, it is possible to gain insights into the population, economic trends, and other factors.
- Mock interviews by Learnovita give you the platform to prepare, practice and experience the real-life job interview. Familiarizing yourself with the interview environment beforehand in a relaxed and stress-free environment gives you an edge over your peers.
- Our mock interviews will be conducted by industry experts with an average experience of 7+ years. So you’re sure to improve your chances of getting hired!
How Learnovita Mock Interview Works?
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Data Science with Python Training Objectives
- Using Python libraries like Pandas, NumPy, SciPy, and Scikit-Learn, the Data Science with Python certification course offers a thorough understanding of Data Science analytics tools and techniques, including feature engineering, data visualisation, and predictive analytics. The course also covers the key machine learning libraries, including TensorFlow, Keras, Scikit-Learn, and others. By the end of the course, students should be able to build robust models and chart a lucrative career path in Data Science.
- Data Science with Python training allows you to become a Data Scientist, Data Analyst, Business Analyst, Machine Learning Engineer, Data engineer and many other roles. As Python is widely used in the data science field, it has opened up a lot of job opportunities to professionals trained in the language.
- The scope of Data Science with Python is vast and will continue to grow in the future. It is one of the most indispensable skills needed to become a successful data scientist. With the rise of big data, the demand for Data Scientists with a thorough knowledge of Python is likely to rise. Python is an easy-to-use programming language that offers an extensive library of tools and frameworks for data science.
- Yes, Data Science with Python is one of the emerging trends that will dominate the tech industry in the near future. Python is the most popular language for machine learning and Data Science as it offers great libraries and frameworks which can be used for data analysis, exploratory data analysis, preparing the data for machine learning, and running and training machine learning models.
- There are many platforms for practicing Data Science with Python lab. Some of the most popular ones are Google Colab, Kaggle, Jupyter Notebook, PyCharm, and Microsoft Azure Notebooks. These platforms allow you to easily write, run, and debug Python code as well as create data visualizations using Python libraries such as NumPy, Pandas, and Matplotlib.
- In our Data Science with Python online training, you will learn skills such as linear regression, logistic regression, data wrangling, feature engineering, data visualization, predictive analytics, machine learning algorithms, deep learning algorithms, and big data technologies.
- Data Science with Python course is necessary for those who want to enter the field of data science and are looking to become a successful Data Scientist. The course is essential to learn the fundamentals of programming in Python, understand data analytics tools and techniques, and build powerful models using data modelling techniques.
- The requirements for the Data Science with Python course are knowledge of basic programming concepts, an understanding of statistics and mathematics, and the ability to use a computer. Additionally, knowledge of another programming language such as Java or C++ would be beneficial.
- Equip learners with the skills to work with data in Python.
- Understand the basics of Data Science.
- Learn the fundamentals of programming in Python.
- Utilize data analytics tools and techniques such as data exploration, data aggregation, feature engineering, data visualization, and predictive analytics using Python libraries.
- Apply data modelling techniques to create powerful models.
The objectives of Data Science with Python online training are to:
- Data Science with Python is used to analyze data, process it, extract meaningful insights, and build powerful predictive models. It is used to solve complex problems such as forecasting, prediction, optimization, and automation. Python is also used for visualization tasks such as creating data visualizations, interactive plots, and dashboards for data analysis and presentation.
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.
Pranav SrinivasSoftware Testing, Capgemini
Data Science with Python Course FAQ's
- LearnoVita will assist the job seekers to Seek, Connect & Succeed and delight the employers with the perfect candidates.
- On Successfully Completing a Career Course with LearnoVita, you Could be Eligible for Job Placement Assistance.
- 100% Placement Assistance* - We have strong relationship with over 650+ Top MNCs, When a student completes his/ her course successfully, LearnoVita Placement Cell helps him/ her interview with Major Companies like Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, HCL, Infosys, MindTree and MPhasis etc...
- LearnoVita is the Legend in offering placement to the students. Please visit our Placed Students's List on our website.
- More than 5400+ students placed in last year in India & Globally.
- LearnoVita Conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
- 85% percent placement record
- Our Placement Cell support you till you get placed in better MNC
- Please Visit Your Student's Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
- LearnoVita Certification is Accredited by all major Global Companies around the World.
- LearnoVita is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (nie) Singapore
- Also, LearnoVita Technical Experts Help's People Who Want to Clear the National Authorized Certificate in Specialized IT Domain.
- 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.