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Postgraduate programData & Analytics

Post Graduate Program in Data Analytics

With Henry Harvin

  • 120 hours of live online instructor-led sessions
  • 40 hours of live doubt-solving sessions
  • 20 hours of live masterclasses
  • 192 hours of self-paced learning content
  • 192 hours of hands-on cloud lab access
  • 11 hours of mentorship
Duration
120 hours
Study format
Live online
Qualification
Postgraduate program
Program fee
On request
Explore curriculum

About the program

The program pairs programming with business intelligence. Learners work in R and Python (including NumPy and pandas), learn statistics from descriptive measures through hypothesis testing, and query data with SQL. Visualisation and reporting are taught in both Power BI and Tableau, followed by natural language processing, big data with Hadoop and Spark, Industry 4.0 and computer vision. This is a Henry Harvin certificate program rather than a university postgraduate degree. Confirm current fees, batch dates and certificate options with the provider before enrolling.

At a glance

Program
Postgraduate program
Learning format
Live online
Curriculum
10 modules

What you will learn

What you will take away

  • Analytics tools and technologies
  • Business intelligence with Power BI and Tableau
  • SQL for data analysis
  • Big data technologies
  • Programming for analytics in Python and R

What you will study

10 modules · 33 topics

  1. 1R programming2 topics
    • Random forests
    • K-means clustering
  2. 2Python programming5 topics
    • Python objects
    • User-defined and lambda functions
    • NumPy and pandas
    • Data frame manipulation
    • Visualisation and exploratory data analysis
  3. 3Natural language processing2 topics
    • NLP with NLTK
    • Advanced NLP with spaCy
  4. 4Statistics and probability4 topics
    • Descriptive statistics
    • Probability theory and distributions
    • Hypothesis testing
    • Inferential statistics and sampling
  5. 5Power BI5 topics
    • Business intelligence concepts
    • Connecting data sources
    • Power Query transformations
    • Data modelling
    • Reports and dashboards
  6. 6Tableau5 topics
    • Tableau architecture
    • Metadata and data blending
    • Filters, sets and parameters
    • Calculations and expressions
    • Dashboards and stories
  7. 7SQL4 topics
    • SQL manipulation
    • Joins
    • String, mathematical and date-time functions
    • Tuning tips
  8. 8Big data with Hadoop3 topics
    • Hadoop framework
    • Spark
    • Machine learning with Spark and real-time streaming
  9. 9Industry 4.03 topics
    • Smart factories
    • Challenges and impact of Industry 4.0
    • Pillars of Industry 4.0
  10. 10Computer vision

Specialisations and skills

Specialisations

Institutions and credentials

Cohorts and fees

Starting fee

Fees on request

No upcoming cohort dates are published yet. Ask the CrackTo team about the next intake.

Fees are shown for comparison. Confirm the current amount, inclusions and terms with the provider before making a decision. CrackTo does not collect payment for these programs.

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  2. Step 2

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  3. Step 3

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