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 Analytics Course Key Features 100% Money Back Guarantee
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5 Weeks Training
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Certificate of Training
From Industry Data Analytics Experts -
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No Prior Knowledge Required -
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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.
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Data Analytics Course Content
Trainers Profile
Our trainers are certified professionals with extensive real-world experience, currently working at top companies. They're passionate about sharing the latest advancements and industry best practices in Selenium with Python automation. Through their guidance, you'll gain the skills to automate web browser interactions and streamline your testing process.
Syllabus of Selenium with Python Certification Online Course Download syllabus
- Fundamentals of Data Analytics
- Data Analytics Lifecycle and its Significance
- Data Sources and Types
- Overview of Visualization of Data
- Techniques for Preparing Data
- Managing Missing Values
- Identification and Handling of Outliers
- Data Transformation and Normalization
- Engineering Features
- Characteristic Statistics
- Techniques for Data Visualization
- Correlation Study
- Employing Python or R libraries
- Univariate, Bivariate, and Multivariate Analysis
- Distributions of Probabilities
- Testing of Hypotheses
- Analysis of Regression
- Analysis of Variance, or ANOVA
- Analysis of Time Series
- Principles of Machine Learning
- Machine Learning Algorithm Types
- Comparing Supervised and Unsupervised Learning
- Evaluating and Choosing Models
- Introducing TensorFlow and Scikit-Learn
- The Linear Regression
- Decision trees, Random Forests
- Support Vector Machines (SVM)
- Logistic Regression
- Naive Bayes Classifier
- K-Means Grouping
- Principal Component Analysis (PCA)
- Hierarchical Clustering
- Association Rule Mining
- Anomaly Detection
- Ensemble Learning (GBM)
- Gradient Boosting Machines
- Strengthening Deep Learning with Neural Networks
- Hyperparameter Tuning and Model Optimization
- Introduction to Big Data
- Fundamentals of Hadoop and MapReduce
- Distributed Computing for Big Data Analytics
- Spark and Spark MLlib
- Data Processing with Kafka Ten
- Advanced Methods for Data Visualization
- Tools for Interactive Visualization (Power BI, Tableau)
- Support Vector Machines (SVM)
- Efficient Narration of Data
- Best Practices for Data Visualization
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Mock Interviews
- 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?
Data Analytics Training Objectives
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It is advised to have some prior knowledge of
- Fundamental statistics
- Programming languages like Python or R
- Basic fundamental skills This will enable you to get the most out of the course and help you comprehend the ideas and techniques covered.
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For a comprehensive learning experience, the course blends
- Theoretical Concepts
- Practical Learning
- Hands-on Exercises. This approach ensures that you not only understand the theories but also gain the necessary skills to apply them in real-world scenarios.
- Python: For data manipulation, analysis, and visualization.
- R: For statistical analysis and data visualization.
- SQL: For querying and manipulating relational databases.
- Tableau: For creating interactive data visualizations.
- Apache Spark: For big data processing and analysis.
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This course has been designed with beginners in mind and provides help and guidance to participants. It is worth noting that prior coding experience is not a prerequisite for enrollment.
Exam & Certification
- Proficiency in statistical analysis tools like Python, R, or SAS.
- Strong understanding of data visualization techniques.
- Familiarity with database querying languages such as SQL.
- Knowledge of machine learning algorithms and techniques.
- Experience in handling and interpreting large datasets.
- Case studies on real-world scenarios
- Projects to apply learned concepts
- Hands-on exercises for practical experience
- Data analysis assignments
- Collaborative group projects
- Increased Salary Potential
- Professional Credibility
- Enhanced Employability
- Access to specialized roles
- Demonstrated Expertise in Automation Testing
Recently Placed Students
Pranav Srinivas
Software Testing, CapgeminiData Analytics Online Course FAQ's
- LearnoVita is dedicated to assisting job seekers in seeking, connecting, and achieving success, while also ensuring employers are delighted with the ideal candidates.
- Upon successful completion of a career course with LearnoVita, you may qualify for job placement assistance. We offer 100% placement assistance and maintain strong relationships with over 650 top MNCs.
- Our Placement Cell aids students in securing interviews with major companies such as Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, HCL, Infosys, MindTree, and MPhasis, among others.
- LearnoVita has a legendary reputation for placing students, as evidenced by our Placed Students' List on our website. Last year alone, over 5400 students were placed in India and globally.
- We conduct development sessions, including mock interviews and presentation skills training, to prepare students for challenging interview situations with confidence. With an 85% placement record, our Placement Cell continues to support you until you secure a position with a better MNC.
- Please visit your student's portal for free access to job openings, study materials, videos, recorded sections, and top MNC interview questions.