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Data Analytics - Data Analytics Certification

Data Analytics Certification - Data Analytics Course

4.6/5

33 hours | 68K Participants

Data Analytics Certification Training Cost

Plans & Pricing

SELF PACED

$99

33 Hours of Videos.
Flexible Schedule.
Free Demo
Technical Support
Lifetime free Upgrade
Course Completion 
Certificate

Instructor Led-Live

$399

Instructor Led Training
33 Hours Instructor Led Live Class
Flexible Schedule.
Free Demo
Learn Whenever & Wherever.
Technical Support
Lifetime free Upgrade
Course Completion Certificate

FREE

$0

Flexible Schedule.
Free Demo
Learn Whenever & Wherever

Lifetime free Upgrade

NO instructor led training
NO Technical Support

Data Analytics Overview

Experience the excellence of Cloudcertification’s academic prowess in data science through this Post Graduate Program. Explore essential topics like Python, ML, deep learning, NLP, data visualization, generative AI, explainable AI, ChatGPT, and more using an interactive learning approach with live sessions led by global experts.

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Industry Trends

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Course Curriculam

Get started Program in Data Analytics in Online and explore everything about the domain. Kickstart your Data Analytics journey with the preparatory courses on Statistics and Programming.

  • Master procedural & OOP in Python.
  • Understand Python's benefits.
  • Install Python & its IDE.
  • Familiarization with Jupyter Notebook.
  • Implement identifiers, indentations, & comments effectively.
  • Grasp Python's data types, operators, & string functions.
  • Learn various loops in Python.
  • Explore variable scope in functions.
  • Explain OOP principles & characteristics.
  • Understand databases & relationships.
  • Use query tools & SQL commands.
  • Master transactions, table creation, & views.
  • Execute complex stored procedures.
  • Acquire expertise in SQL filtering, grouping, joins, etc.
  • Explore SQL functions: string, math, date, and pattern matching.
  • Ensure database security with access control functions.
  • Gain Python skills for data science.
  • Write Python scripts proficiently.
  • Perform hands-on data analysis.
  • Utilize Jupyter-based lab environment.
  • Explore data prep, modeling, & evaluation.
  • Master NumPy, array indexing, slicing.
  • Understand skewness, covariance, correlation.
  • Describe null & alternative hypotheses.
  • Examine Z-test, T-test, ANOVA.
  • Utilize pandas' Series & DataFrame.
  • Create visualizations with Matplotlib, Seaborn, Plotly, and Bokeh.
  • Explore diverse ML types & applications.
  • Understand ML pipeline & supervised learning.
  • Learn regression models & classification algorithms.
  • Cover unsupervised learning & clustering techniques.
  • Evaluate frameworks: TensorFlow, Keras.
  • Build a recommendation engine with PyTorch.

The data science and machine learning capstone project provides a unique opportunity to apply skills in real-world scenarios. Guided by industry mentors, you'll address industry challenges, from data processing to presenting results. Using Python or SAS, implement regression, decision trees, and AI algorithms for accurate models. Ensure model robustness with k-fold cross-validation. Utilize Tableau for insightful result visualization.

Question and Answer

Yes, Cloudcertification provides a 100% money-back guarantee on fulfilling all the below checkpoints
1. This offers is only on instructor-led training
2. 95% class attendance
3. In the Test, you have to score 95% marks conducted by Cloudcertification.

At Cloudcertification, you'll never miss a Session! You will be provided with the recorded class of that day.

Post-enrollment will provide access immediately, and you can start the course right away.

Data Analytics Certification

The certification process plays a crucial role in getting the job you want. It shows that you've gained the necessary skills to manage crucial jobs in the real world with minimal or no help from your colleagues. Companies are focusing on hiring those with qualifications and are providing huge salary packages. We will provide all required courses to earn in obtaining the certification. Cloud Certification Trainings encompasses every aspect of shaping you into a professional certified by providing you with the professional and technical knowledge that will help your career to be successful.

Cloud Certifcation

FAQ's

Given the vast volumes of data created today, data science will continue to be an emerging field essential for any company. As a result, the need for qualified Data Scientists will continue to increase multifold.

A Data Analytics identifies the business issues that need to be answered and then develops and tests new algorithms for quicker and more accurate large scale data analytics utilizing a range of technologies such as Tableau, Python, Hive, and others. A professional with Data Science major also collects, integrates, and analyses data to acquire insights and reduce data issues so that strategies and prediction models may be developed.

Data Analytics is a tremendous professional path with various potential progression opportunities. Data Analytics positions are in high demand and pay well. Indeed, according to certain LinkedIn studies, the Data Analytics is the "most promising career," while Glassdoor calls it the "greatest job in America." Our Data Analytics Program will provide you with all the necessary skills needed to kickstart a successful Data Analytics profession.

Data Analytics jobs provide many opportunities for success with high-paying incomes. Based on experience, region, and employer, India's typical average Data Scientist compensation is INR 972,217 annually. (according to PayScale The average annual wage in the United States is $100,507. Discover other professional courses here.

Yes, even if you have no technical expertise, you may enroll in the Data Analytics Program. A rudimentary understanding of programming languages and mathematics, on the other hand, will be advantageous.

Programming is an essential aspect of data Analytics. For data Analytics projects, scripting and mathematics are crucial ideas. Gaining foundational knowledge or job experience in the domains mentioned above is strongly recommended for applicants interested in a data Analytics profession. Python and R are widely used programming languages in data research. Our Data Analytics curriculum will simplify your learning of programming languages.